53 jobs found

Lead AI/ML Engineer - GL 29 On an immediate basis, we need highly experienced, hands-on professionals located in the (remote). Primary Responsibilities: AI Project Execution & Delivery: Lead the end-to-end execution of high-priority AI/ML projects, ensuring they are delivered on time, within budget, and to the highest technical standards. Translate the enterprise AI strategy and product roadmaps into detailed project plans, technical specifications, and actionable backlogs for engineering teams. Serve as the primary technical point of contact for project stakeholders, managing dependencies, mitigating risks, and communicating progress effectively. RAG Decision Clarity- Ability to design, implement, and explain complete GenAI/RAG solutions independently, from business problem to production deployment, strong understanding of when to use RAG and when not to, ability to justify design choices instead of using GenAI by default. Embedding & Vector Search Expertise - Hands-on experience with embedding models, vector dimensions, similarity metrics, and internal workings of vector databases. Chunking & Context preservation- expertise in multiple chunking strategies with clear understanding of context loss and mitigation techniques. Metadata vs Semantic search Understanding- clear distinction between metadata-based filtering and semantic retrieval, and ability to apply each appropriately. Agentic Architecture - Ability to design agent workflows with clearly defined responsibilities, avoids unnecessary or misaligned use of agents. Multimodal document processing- experience in handling texts, tables, and images. AI Governance & AIRB Facilitation: Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams. Facilitate the preparation of all required documentation for AIRB reviews, ensuring submissions are complete, clear, and proactively address potential ethical, compliance, and technical concerns. Implement and enforce the governance framework, ensuring teams adhere to established standards and best practices for responsible AI. Team Leadership & Technical Mentorship: Provide direct line management, technical leadership, and mentorship to a team of senior AI/ML Engineers and Data Scientists. Foster a culture of engineering excellence, collaboration, and continuous improvement within the team and enterprise. Conduct code reviews, design sessions, and technical deep dives to ensure the quality, scalability, and robustness of AI solutions. Required Qualifications: Proven AI/ML Leadership: 10-15 years of experience in the AI/ML field, with at least 4-5 years in a leadership or management role leading technical teams in the delivery of complex AI solutions. Experience with AI Governance: Direct, hands-on experience successfully navigating an internal AI ethics, risk, or governance review process for multiple projects. Strong Project Management Skills: Demonstrated ability to manage complex technical projects from conception to deployment, with expertise in agile methodologies. Expertise in the ML Lifecycle: Deep, practical knowledge of the entire machine learning lifecycle, from data acquisition and feature engineering to model deployment and post-launch monitoring. Hands-on MLOps Experience: Proven experience building and managing CI/CD pipelines and MLOps workflows for machine learning. Strong Technical Foundation: Proficient in Python, common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications: Advanced Degree: A Master's or Ph.D. in a relevant quantitative field. Healthcare Domain Experience: Experience developing and deploying AI/ML solutions within a healthcare or other highly regulated environment. Product Mindset: Experience working closely with product managers to define and deliver AI-powered features and products. Expertise in GenAI Operations: Specific experience in the operational challenges of deploying and managing LLM-based applications in production. Mentorship and Talent Development: A passion for coaching and developing technical talent, with a track record of growing senior engineers into tech leads. Pankaj Kumar Tanisha Systems Inc Phone: redacted phone Email: redacted email Address: 99 Wood Ave South, Suite Iselin, NJ 08830

Requisition Number: 27301 Required Travel: 0 - 10% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $117,262.00 - $160,000.00 Security Clearance: Secret Level of Experience: Senior This opportunity resides with Global Security (GS). Mission Technologies' Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross-domain battle. With advanced technologies to enable mission readiness, HII understands that preparation requires full coordination-not readiness in piece-parts. For more than 40 years, the U.S. Navy has entrusted HII to maintain and modernize the vast majority of its fleet. With a holistic approach to life-cycle maritime defense systems-from small watercraft to submarines, surface combatants and aircraft carriers-HII ensures a high state of readiness. HII supports the Department of Energy's national security mission through the management and operation of its sites, as well as the safe cleanup of legacy waste across the country. HII meets clients' toughest nuclear and environmental challenges. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: Summary Mission Technologies, a division of Huntington Ingalls Industries, is seeking a highly experience Engineer Software 5 to support the Joint Training Synthetic Environment (JTSE), JLVC Modernization efforts for Joint Staff J7(JS J-7) contract at our Suffolk, VA Joint Staff Complex. This is a high impact role for someone who thrives in complex, multi domain environments and enjoys leading large scale modernization efforts that directly support joint warfighter readiness What You Will Do • Lead the design, engineering, and integration of innovative solutions to address Joint Operational Training Gaps. • Oversee planning, execution, and delivery of major software development efforts, ensuring alignment with mission goals and stakeholder expectations. • Guide technical integration across multiple M&S domains, including emerging areas such as Space M&S. • Serve as a primary technical liaison with government leadership, military partners, and adjacent organizations. • Evaluate industry tools, technologies, and processes for potential integration into JLVC modernization efforts. • Architect scalable, flexible, and efficient LVC training solutions that support joint operational readiness. What You Must Have • 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience. • Ten plus years of hands on experience with Modeling & Simulation (M&S) solutions and Live, Virtual, Constructive (LVC) systems and architectures. • Ten plus years integrating LVC solutions, including work with simulation interoperability standards and data translation. • Five plus years supporting live training range systems, networks, and associated architectures. • Demonstrated experience working within Joint LVC training environments, systems, and architectures. Preferred Requirements • Experience supporting large scale government or military M&S training systems. • Proven success leading cross functional teams in developing or modernizing JOTG solutions. • Strong understanding of networking and multi domain integration techniques. • Excellent communication and leadership skills, with the ability to coordinate across senior government and military stakeholders. • Ability to operate effectively in complex, high stakes environments with tight timelines. • Demonstrated critical thinking and innovation in solving operational training challenges. Physical Requirements Adequate visual acuity and manual dexterity for meeting the requirements Software Engineer family. HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press for HII Mission Technologies.

Job description: - Position : Data Scientists - 1 Tech Lead a Headcount: 1 Salary range: 130-140 K ? AI/ML Lead Engineer (8+ yrs Years Experience) ? Key Responsibilities Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving. LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems. Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock , to build scalable and efficient solutions. MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration. Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality. Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact. Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features. ? Required Qualifications Experience: 8+ years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Technical Proficiency: Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure). Deep understanding of the architecture and fine-tuning of Large Language Models. Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow ) and validation frameworks (e.g., DeepEval ). Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications Hands-on experience developing applications or services using Google's Gemini API or models. Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock . Experience in building and managing multi-step, reasoning-based Agentic AI systems. Prior experience in optimizing models for latency and cost efficiency in a production environment. Position : AI ML Engineer Headcount: 3 Salary range: 110-120 K ? AI/ML Engineer - Mid-Level (7+ Years Experience) Overview We are seeking an innovative and results-oriented Mid-Level AI/ML Engineer to join our dynamic team. This role is crucial for transforming Client concepts into robust, production-ready AI solutions. The ideal candidate possesses a strong background in Machine Learning engineering, extensive experience with cutting-edge LLMs and cloud-based AI services, and a commitment to maintaining high-quality, responsible AI systems. ? Key Responsibilities Full ML Lifecycle Management: Drive projects from initial ideation to production deployment, including data pipeline development, model training, validation, and serving. LLM & Agentic Development: Design, implement, and optimize solutions utilizing Large Language Models (LLMs) and developing sophisticated Agentic AI systems to solve complex business problems. Platform Expertise: Leverage and integrate core generative AI platforms, including Gemini and Amazon Bedrock , to build scalable and efficient solutions. MLOps & Tools: Implement MLOps best practices, utilizing tools like MLFlow for experiment tracking, model versioning, and pipeline orchestration. Quality Assurance: Develop and execute comprehensive testing strategies for LLM applications, including utilizing frameworks like DeepEval for prompt engineering and model output quality. Analytical Skill: Apply strong analytical skills to evaluate model performance, diagnose issues, and iterate on solutions to achieve maximum business impact. Collaboration: Work closely with cross-functional teams (data scientists, product managers, and software engineers) to define requirements and deliver integrated AI features. ? Required Qualifications Experience: 4-7 years of professional experience in Machine Learning Engineering, AI Development, or a closely related field. Education: Master's degree in Computer Science, Data Science, Engineering, or a quantitative field. Technical Proficiency: Expertise in Python and core ML/Data Science libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Proven experience in deploying models on major cloud platforms (GCP, AWS, or Azure). Deep understanding of the architecture and fine-tuning of Large Language Models. Domain Knowledge: Practical experience with MLOps tools (e.g., MLFlow ) and validation frameworks (e.g., DeepEval ). Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions. Preferred Qualifications Hands-on experience developing applications or services using Google's Gemini API or models. Direct experience with AWS services related to AI/ML, particularly Amazon Bedrock . Experience in building and managing multi-step, reasoning-based Agentic AI systems. Prior experience in optimizing models for latency and cost efficiency in a production environment. Additional Job Details: About Tanisha Systems, Inc. Tanisha Systems, founded in 2002 in Massachusetts- , is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in and . Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control. Want to read more about Tanisha Systems? Visit us at Website Open Jobs

We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our Science team in AWS Console, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Clara - 171 200.00 USD annually

JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. JOB SUMMARY - ESSENTIAL FUNCTIONS A Computer Scientist III provides software and systems engineering services, generally within a work unit or group. Employee will be responsible for the following functions/duties: Advise team and project managers on technical problems Interact with customers and project managers on a regular basis Work independently of direct supervision on projects of high complexity Use judgment and initiative in developing complex analytical and computational technologies and methodologies for solving problems, which may be technically unique to the industry Interpret customer requirements and develop and analyze the most appropriate approach to solve technical problems Develop design of system/software and associated design documentation Prepare and conduct design reviews Implement design through software coding or hardware and appropriately document the design implementation Plan and execute unit, integration, and system testing Participate in maintenance and sustainment activities of system/software Provide work direction or other guidance to subordinate technical staff Establish and maintain positive customer relations May support pursuit of new business efforts, lead proposal efforts, and act as a technical consultant Perform other job-related duties, as required RANGE POSITION DESCRIPTION The primary purpose is to provide software development related to modeling and simulation systems that support developmental and operational test and evaluation (DT&E and OT&E) test programs. These systems consist of primarily of computer networks, and system integration laboratories (SIL), but could also involve hardware-in-the-loop (HITL) facilities integrating digital and analog processors, cockpit displays and controls, aircraft, weapons, environmental, and threat models, databases, and operational flight program software related to interactive man-in-the-loop battlespace environments. Proficient in C++, Python, Linux or similar programming languages. Knowledge and understanding of Windows, Linux and any related operating systems, SQL databases. Knowledge with software modeling and simulation integrating one or more of the following: sensors, electronic warfare systems, communication links, databases, aircraft, threat models, databases and weapons systems. Knowledge with integrating software and modeling environments consisting of digital and analog processors, cockpit displays and controls, mechanical and electrical interfaces and flight program software. Knowledge with testing, deployment, configuration management and software sustainment. Ability to program (various languages and protocols), integrate/manipulate models and generate computer networks for virtual, live, and constructive simulation of combat aircraft avionics, armament, or electronic warfare systems. (C++, LINUX, WINDOWS, QT SQL, etc) The primary duties required are those necessary to provide technical expertise in the area of software development, integration of models, armament, sensor and electronic warfare systems for a complex integrated battlespace modeling and simulation environments consisting of digital & analog processors, cockpit displays & controls, mechanical & electrical interfaces, and operational flight program software. Integrate with civilian/military professionals engaged in software development, flight simulator development, engineering, operation, and maintenance. The incumbent develops software and will support the verification and validation of software, models and data from avionics, sensor, Electronic Warfare and weapons related test of manned and unmanned modeling and simulated combat aircraft, threat and missile systems. After analysis, results of tests are compared with system performance, mission requirements, and test plan objectives, and the outcome is presented in the form of understandable and accurate plots, tables, and other graphic representations. REQUIREMENTS - EDUCATION, TECHNICAL, AND WORK EXPERIENCE One of the following educational requirements must be met for this position: A bachelor's degree in an associated discipline and a minimum of four years of related experience A master's degree in an associated discipline and a minimum of two years of experience A PhD in an associated discipline In addition, a Computer Scientist III must possess the following qualifications: Experience with computer-based systems and applications Programming skills in languages used for job-specific programming tasks Familiarity with the application of industry standard hardware and software design and documentation techniques Experience with systems engineering and software development lifecycles Effective oral and written communication skills Good planning/organizational skills The candidate must possess a valid, state issued driver's license. Must be able to obtain and maintain security clearance. Must be a U.S. citizen. BENEFITS Medical, Dental, Vision Insurance Benefits Active on Day 1 Life Insurance Health Savings Accounts/FSA's Disability Insurance Paid Time Off 401(k) Plan Options with Employer Match JT4 will match 50%, up to an 8% contribution 100% Immediate Vesting Tuition Reimbursement OTHER RESPONSIBILITIES Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. WORKING CONDITIONS Work is performed in a typical office environment with no unusual hazards. Occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness are required. Travel to remote company work locations may be required. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a Federal Government Contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses/certifications, and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment. SCC: JSD12, A1412TW

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Job Title: Data Scientist Job Location: Richmond, VA (Hybrid - 1 week onsite/ 1 week Remote) Job Duration: 12+ Months (Possibility of extension) High Level Project Overview: This role serves as a technical consultant and senior individual contributor within 's Enterprise Data Analytics team, delivering advanced analytics and data science solutions that support operational reliability, grid modernization, customer experience, and clean energy initiatives. Key responsibilities include: Partner with business units such as Generation, Transmission & Distribution, Grid Operations, Asset Management, Customer Operations, and Finance to identify high value data science use cases Design, build, and deploy predictive, prescriptive, and diagnostic models to support: Asset health and predictive maintenance Load forecasting and demand modeling Outage prediction, restoration optimization, and reliability analytics. Grid resilience, renewable integration, and emissions reduction initiatives. Customer behavior, billing, and energy efficiency programs. Apply advanced techniques such as time series forecasting, survival analysis, optimization, clustering, NLP, and anomaly detection to utility scale data. Develop end to end data science solutions, from data acquisition and feature engineering to model deployment and post production monitoring Support implementation of MLOps best practices to ensure scalable, reliable, and auditable analytics solutions in compliance with enterprise and regulatory standards. Collaborate closely with data engineers, platform teams, and cloud architects to ensure models are production ready and performant. Evaluate model performance continuously, identify data/model drift, and recommend retraining or enhancement strategies Build reusable analytical frameworks and accelerators that improve time to value across the Enterprise Analytics portfolio. Create intuitive visualizations, dashboards, and self service analytics tools that empower stakeholders to explore insights independently. Mentor junior data scientists and analysts, contributing to analytics standards, code quality, and best practices Support 's commitment to safety, reliability, affordability, and clean energy transformation through responsible and ethical use of data and AI. Required Skills and Experience: MUST have prior hands on experience as a Data Scientist on a project using Python or R. Proven ability to translate complex analytical findings into clear, actionable insights for business leaders, engineers, operations teams, and executives Experience designing, developing, and deploying advanced analytics and machine learning solutions aligned to business objectives. Ability to create clear, interpretable visualizations that tell a compelling story, support decision making, and align with executive level messaging. Demonstrated experience creating interactive dashboards, reports, and applications (e.g., RShiny, Power BI, Streamlit, Dash) for business consumption Strong experience working with structured, semi structured, and unstructured data (e.g., sensor/SCADA data, time series data, text, images). Expertise across machine learning, statistical modeling, forecasting, optimization, and anomaly detection, with real world application experience. Experience or working knowledge of MLOps practices including model development lifecycle management, automated testing, CI/CD pipelines, version control, and deployment (e.g., MLflow, Dataiku, Azure ML, or similar tools) Strong understanding of model monitoring, including performance tracking, explainability, bias detection, model drift, and reproducibility in production environments. Experience or working knowledge of data engineering concepts, including data ingestion, transformation, feature engineering, and data quality controls. Experience with cloud and modern analytics platforms (AWS, Azure, GCP, Snowflake, Databricks, or similar) is a strong plus Understanding of governance, security, and regulatory requirements for enterprise and utility data environments is preferred. What soft skill requirements do you have (team fit and personality requirements)? Strong communication skills both verbal and written. Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams. Nice to Have Skills: Understanding and/or Experience with data engineering is a plus. Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus. Required Years of Experience: MUST have 5+ years of experience in Data Science using Python or R, with a strong focus on analyzing large, complex, and high volume datasets. Education: Education: Bachelors or higher required Discipline: Computer Science, Information Systems, Mathematics Are there any specific companies/industries you'd like to see in the candidate's experience? High Preference for candidates that have previously worked with a large scale commercial utilities team but will review candidates who have a background with large scale capital projects for companies. Preferred Interview Process Overview (High level): Teams - Camera On

Remote Position This Jobot Job is hosted by: Jim Quirk Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $160,000 - $210,000 per year A bit about us: We are a data-driven technology company dedicated to delivering robust infrastructure and scalable analytics solutions for our clients. Our engineering teams design, build, and maintain enterprise-grade environments that turn complex data into measurable business outcomes. We place a high priority on technical excellence, system security, and continuous innovation across our software and machine learning lifecycles. Why join us? Complex Technical Challenges: Architect and deploy production-scale machine learning systems using an enterprise-grade cloud stack. Professional Autonomy: Drive technological selection and solution design from the application layer to core infrastructure. Collaborative Environment: Work alongside senior data scientists, software engineers, and domain experts to deliver high-value systems. Continuous Innovation: Evaluate, adopt, and integrate emerging big data and MLOps technologies. Job Details Position Overview As a Solutions Architect on our Machine Learning Engineering team, you will design and implement data solutions tailored to our customers' needs. Your scope will span the entire machine learning lifecycle, including model inference, retraining, monitoring, and beyond, across an evolving technical stack. In this role, you will provide thought leadership by recommending technologies and solution designs from the application layer to the infrastructure layer. You will leverage your team leadership and coding skills (e.g., Python, Java, Scala) to build and operate production environments while ensuring performance, security, scalability, and robust data integration. Key Responsibilities Environment Creation: Design and build environments for data scientists to manipulate data and construct machine learning models. System Integration: Analyze customer technology environments to extract data securely and integrate it into analytical platforms. Deployment & Infrastructure: Define deployment approaches and infrastructure for models, ensuring businesses can seamlessly utilize developed models. Value Demonstration: Partner with data scientists to transform raw data into appropriate formats, unlocking actionable business insights through scalable machine learning models. Lifecycle Management: Collaborate with data science teams to ensure solutions are deployable at scale, compatible with existing business systems, and maintainable throughout their lifecycle. Testing & QA: Create operational testing strategies, validate models in QA environments, and oversee final implementation and deployment. Quality Assurance: Take ownership of the overall quality, performance, and security of the delivered product. Basic Qualifications Experience: Minimum of 6 years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer. Education: Bachelor's degree in Computer Science, or a related technical field. Model Deployment: Proven experience deploying machine learning models into live production environments. Programming: Expertise in Python, Scala, Java, or another modern programming language. Data Pipelines: Ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets. SQL Mastery: Strong working knowledge of SQL, including the ability to write, debug, and optimize distributed SQL queries. Big Data Ecosystems: Hands-on experience with technologies like Spark, Snowflake, or Databricks. Data Sources: Familiarity with multiple data sources and messaging systems (e.g., JMS, Kafka, RDBMS, DWH, MySQL, Oracle, SAP).Systems & Cloud: Systems-level knowledge of network/cloud architecture, operating systems (e.g., Linux), and storage systems (e.g., AWS, Databricks, Cloudera).Core Data Tech: Production experience with enterprise data technologies (e.g., Spark, HDFS, Snowflake, Databricks, Redshift, Amazon EMR).API Development: Experience developing APIs and web server applications (e.g., Flask, Django, Spring).SDLC Knowledge: Full software development lifecycle experience, including design, documentation, implementation, testing, and deployment. Communication: Excellent communication and presentation skills, with previous experience interfacing with internal or external customers. Preferred Qualifications Advanced Degree: Master's or PhD in Data Science, Computer Science, or a related technical field. Cloud & Platform Expertise: Hands-on experience with major cloud provider ecosystems (AWS, Azure, GCP) and advanced data platforms.ML Libraries: Experience working with data science and machine learning libraries such as h2o, TensorFlow, Keras, or scikit-learn. MLOps Tools: Experience with AWS SageMaker, Azure ML, or MLflow. Containerization: Familiarity with Docker, Kubernetes, or equivalent container technologies. Enterprise ML: Prior experience building and scaling enterprise-grade machine learning models. Community Engagement: Relevant side projects or contributions to open-source technology stacks. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Overview As part of University Advancement Data Strategy and Innovation team, the role of the Associate Director, Data Science is to turn data into tactical information and knowledge by applying statistical, algorithmic, mining and visualization techniques. Data Strategy and Innovation plays a critical strategic role within Advancement, providing the analytical framework, data architecture, application development, and tools for data-driven decision making at all levels of the organization. The person in this role should be a creative thinker and propose innovative ways to look at problems that can be used to make sound organizational decisions. The Associate Director, Data Science will need to be able to present their findings and communicate data in ways that can be easily understood by their business counterparts. Working with the department Executive Director, this role will supervise the activities of the data science team and provide management of day to day functional operations. In addition, this position will serve as a liaison to other teams within University Advancement - acting as a lead and driving strategic planning to successfully execute analytics strategies and solutions in support of the University fundraising and engagement operations. Responsibilities Statistical Modeling and Technical Exploration (40%) Utilizing a combination of business focus, strong analytical and problem-solving skills and programming knowledge, drive new innovations and data exploration Develop recommendation engines or automated lead scoring systems to drive our prospect management strategy and marketing segmentation, utilizing machine learning techniques Work with structured data and drive innovation in unstructured data architecture and analysis Work with statistical programming language, like R or Python, and database querying language like PL/SQL Utilize innovative approaches to drive knowledge, incorporate and promote a big data environment. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as social media and web analytics Communication, Mentoring and Analytics Implementation (25%) Work with business users to define desired outcomes and business requirements of analyses, data visualization and other reporting Provide expertise on mathematical concepts for broader applied analytics and inspire the adoption of advanced analytics and data science across the Advancement Office Describe findings or the way techniques work to audiences, both technical and non-technical, effectively using presentation tools such as data visualization, PowerPoint and documentation to drive strategic decision making and understanding of business analytics at all levels of the organization Assist in addressing daily operational questions as needed, identify critical process improvement areas and collaborate in developing procedures and solutions for enhancing a high level of customer service Staff Management (20%) Serve as the team lead for projects and priorities of the data science team, working closely with the Executive Director, Prospect, Engagement, and Data Strategy to ensure projects are aligned with department and Advancement priorities Responsible for the hiring and professional development of staff including training, mentoring, and identifying goals, objectives and metrics Responsible for performance management of staff including staff appraisals and monitoring of activity and metrics Other related tasks as assigned Best Practices & Strategy (15%) Working closely with Data Strategy and Innovation team members, conceive of and contribute to strategies and best practices in maintaining a comprehensive, reliable, and innovative data environment Review and recommend use of new technologies, vendor services and information sources. Keep abreast of news and relevant industry trends in support of the Office of Advancement Develop and maintain proficiency in using advanced analytic and database tools, internet resources, in-house data, and other references Qualifications 7+ years of professional experience required in an analytical or information specialist role within an academic, nonprofit, corporate or consulting setting. Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms. Keen desire to solve business problems, and to find patterns and insights within structured and unstructured data. Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS. Experience with BI tools such as Tableau. Having a good understanding of relational databases, warehouse design and architecture principles. Familiarity with big data frameworks (e.g., such as Hadoop, Hive, Spark). Good scripting and programming skills (e.g. familiarity with SQL, Python, Java). Strong foundation in statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find effective answers. Familiar with disciplines such as: natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modeling and hypothesis testing. Able to create examples, prototypes, demonstrations to help management better understand the work. Able to work autonomously. Proficiency at planning and setting meaningful objectives to meet office goals. Ability to articulate and promote goals and implement strategic plans. Education: Bachelor's Degree in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline required. Preferred: Knowledge of Princeton's mission Experience in higher education Master's degree or Ph.D. strongly preferred Understanding of philanthropy (mission, practice, trends) and fundraising practices (the development cycle, prospect management policies and practices) preferred. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly. If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. PIc6a9ea1d30dc-9287

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Principal Solutions Architect Drive AI Growth + Build Enterprise ML Solutions This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran. We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients. Why join us? Competitive Compensation: $170,000 - $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Principal-level role combining technical leadership + client growth Lead enterprise AI / ML transformations for top-tier customers Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect - Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments. What You'll Do Client Engagement & Account Growth Build executive relationships with client stakeholders Understand long-term AI / ML priorities and create strategic roadmaps Identify expansion opportunities where additional AI or data solutions add value Partner with internal leadership to grow strategic accounts Lead RFPs, RFIs, solution proposals, and executive presentations Translate technical capabilities into business value and ROI Technical Leadership & Delivery Architect end-to-end AI / ML solutions focused on scalability and performance Lead teams of ML Engineers, Data Scientists, and Architects Oversee AI platforms, production pipelines, and model deployment strategies Mentor teams on best practices in machine learning architecture and delivery Ensure successful execution across design, testing, deployment, and optimization Stay current on emerging AI technologies and recommend innovation paths Required Background 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering 3+ years leading consulting engagements, client relationships, or account growth initiatives Experience designing and deploying AI / ML solutions in production Strong pre-sales, proposal development, or expansion success Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker Strong coding skills in Python, Java, Scala, or similar Experience leading cross-functional technical teams Strong client-facing communication and executive presence Bachelor's degree in Computer Science or related field Nice to Have Master's degree in Data Science or related discipline Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o Docker / Kubernetes experience Experience building enterprise ML products and APIs Open-source contributions or side projects Expertise with MLOps frameworks and production model monitoring Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane and Thermo King , sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. What's in it for you: A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team-including BrainBox AI, Nuvolo, and more-combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you're advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world. Trane Technologies is currently seeking a Senior Software Engineer for our Digital Solutions Team at Trane Technologies. In this cloud-first, AI-driven engineering environment, you'll join our Digital Solutions team and play a key role in transforming our flagship proprietary software. You'll help modernize a core technology platform-introducing advanced cloud architectures and unlocking the power of machine learning and artificial intelligence to deliver smarter, more sustainable climate solutions. This is an opportunity to directly influence the future of our digital product portfolio, shaping solutions at the intersection of data, cloud, and AI for critical applications in buildings, homes, and transportation. You'll collaborate across global, cross-functional teams, leveraging cutting-edge development practices and participating in a culture of innovation and continuous learning. We're looking for a hands-on, team-oriented engineer who thrives on complex problem solving, architectural design, and creating intelligent logic for real-world customer needs. Success in this role will rely on your curiosity, diligence, technical leadership, awareness of industry best practices, and your commitment to quality, security and customer success. You'll be empowered to help define and deliver truly next-generation technologies for a more sustainable world What you will do: Design, develop, and deploy highly scalable and reliable cloud-based applications, integrating AI and machine learning to deliver innovative solutions for customers. Build, maintain, and iterate on both front-end (React) and back-end (Python or Node.js) components as part of modern, user-focused web applications. Collaborate with product owners, data scientists, and UI/UX designers to create seamless, intuitive, and visually appealing interfaces. Architect and implement robust, secure microservices and APIs on AWS or similar cloud platforms. Develop and optimize data pipelines for big data and analytics, leveraging modern data stores such as columnar databases. Apply best practices for application security, scalability, and performance in a cloud-centric environment. Champion DevOps methodologies-including CI/CD, automated testing, monitoring, and infrastructure as code-to ensure rapid and reliable delivery. Work closely with global teams in an Agile environment, mentoring peers and contributing to code reviews. Stay up to date with emerging technologies, frameworks, and trends in AI, cloud, and full stack development. What you will bring: Bachelor's or Master's degree in Computer Science, Engineering, or STEM related field. 5 years of hands-on software development experience, including building, testing, and deploying cloud-native solutions. Proven full stack engineering expertise with React for front-end and Python or Node.js for back-end development. Strong UI development skills, with a demonstrated ability to deliver user-friendly, accessible, and responsive web interfaces. Extensive experience with AWS or other major cloud platforms (Azure, GCP), including leveraging managed services for scaling, security, and automation. Working knowledge of big data, analytics platforms, and columnar databases. Solid background in application security best practices within a cloud environment. Proficiency with DevOps tools and practices (CI/CD, Docker, Kubernetes, infrastructure as code, cloud monitoring). Experience collaborating within cross-functional Agile teams and effectively communicating technical concepts. Experience integrating and deploying AI/ML models into production applications is a plus. Passion for continuous learning and driving innovation through technology. Annual Base Salary Range or Hourly Base Pay Range: $127,110.00 - $177,870.00 Compensation Type: Salary Incentive Eligible: No Sales Commission Eligible: No Disclaimer : We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status. Safety Sensitive Role: No The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening. We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.5c143e31-5e48-4549-b2d185386

Job ID: 695377BR Date posted: Jan. 13, 2026 Description: Who We Are: Lockheed Martin RMS provides mission software for the United States Strategic Command (USSTRATCOM) Nuclear Deterrence Mission. Our amazing men and women are on a mission to make a difference in the world and keep our nation safe. We use our unique skills and experiences every day to create, design and build solutions to some of the world's hardest engineering problems. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers, AI Engineers, and Data Scientists executing engineering best practices, full-stack design patterns, and secure software and AI techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include development, design, and technical leadership for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Lockheed Martin RMS at Offutt Air Force Base in Bellevue, Nebraska is seeking a full-time Software Engineers to join our Global Strike and Product Support 2 (GSPS2) engineering team working with USSTRATCOM in an Agile / DevSecOps environment. Join us and create Web-based and Java mission systems for the Intelligence, Global Strike, and Nuclear Planning communities. With our employees as our priority, you'll benefit from diverse career opportunities designed to propel development and boost agility. Flexible schedules, competitive pay, and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. This opportunity is a gateway to advancing your career while strengthening our nation and protecting ourselves and our allies from next generation adversaries and their threats. What You Will Be Doing: The qualified candidate will work with experienced software engineers executing web development best practices, full-stack design patterns, and secure software techniques in the Rogue Blue Software (RBS) Software environment as part of the Integrated Strategic Planning and Analysis Network (ISPAN) Mission Planning and Application System (MPAS) systems. Responsibilities will include software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with systems engineers, architects, scrum masters, product owners, and end users to deliver mission capabilities for USSTRATCOM. Basic Qualifications: • Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Masters degree. Considered an emerging authority. • Must be a US Citizen; this position will require a government security clearance. This position is located at a facility that requires special access • Experience with AI/ML: disciplines, domain programming languages (including Python), models, frameworks, and toolsets. • Experience analyzing domain problems and selecting and designing AI solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. Join us at Lockheed Martin, where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They're dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about. As a leading technology innovation company, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Artificial Intelligence Type: Full-Time Shift: First

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI(X) HubDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart new exciting directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with inter-disciplinary research groups. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position may fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions .Current Employees and Students:If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following: Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required. Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title:Post Doctoral Scholar - AI for HealthDepartment:ERIK Artificial Intelligence Hub About the AI(X) Hub The Research Scientist will join the AI(X) Hub at the Enterprise for Research, Innovation and Knowledge (ERIK) of The Ohio State University ( ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15 colleges and aims to unlock exponential possibilities by fusing AI with expertise across six strategic pillars: foundations, health, engineering and sciences, agriculture, cybersecurity, and trustworthy AI. Job Overview Conducts research and development efforts as a Post Doctoral Scholar at the AI(X) Hub. The postdoctoral researcher is expected to actively work with faculty members, research scientists, students, and industry and government partners. Responsibilities will include helping to chart exciting new directions for the Hub, working with domain experts, helping with proposal writing, and other reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering, Physics, or equivalent computing-centric disciplines with demonstrated experience in health sciences. Inter-disciplinary research experience with a focus on health sciences and biomedicine and artificial intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health sciences knowledge. Experience in grant writing and development for health-related opportunities. How to Apply Interested candidates must attach the following materials to their application to be considered for this role: Cover letter Curriculum Vitae (CV) or resume Additional Information: The pay range for this position is $62,000 - $65,000. The offer for this position will fall within this range based on the selected candidate's skills, experience, and education; salary equity assessments; and the unit's budget. ERIK Overview: Join the Enterprise for Research, Innovation and Knowledge (ERIK) at The Ohio State University and become a part of a dynamic, forward-thinking team dedicated to pushing the boundaries of discovery and innovation. ERIK positions Ohio State to expand curiosity-driven research and creative expression, further develop our research community of faculty, staff, and students, and grow the innovation ecosystem to address big challenges and improve communities locally and globally. We are seeking passionate individuals who are committed to making a meaningful impact through collaboration, innovation, and excellence. To learn more about our mission and work, please visit AI(X) Hub Overview The new AI(X) Hub at the Ohio State University is designed to bring researchers, entrepreneurs and industry leaders to develop and use artificial intelligence in novel ways to drive innovation and accelerate discovery and successfully compete for large multidisciplinary projects. The goals of the Hub are to be (i) a cutting-edge resource for collaborative research with expertise across virtually every AI/ML domain; build a scalable shared infrastructure in the form of a university-wide computing cluster; develop robust data/model commons integrated with cutting-edge computing clusters that will help democratize access to high-performance computing and curated datasets; accelerate collaboration between researchers, entrepreneurs, and industry leaders to streamline the path from discovery to deployment, bringing ideas from the lab into the real world. Location:Pomerene Hall (0067)Position Type:Term (Fixed Term)Scheduled Hours:40Shift:First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process. Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

Program Analyst (7398) Job 82113 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social, and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics, and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA, within the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS serves as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions, including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open-source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open-source software is becoming the norm for research computing and when open science ideas are becoming part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests, and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context, and the role of AI in our lives. Reporting to the Assistant Dean for Interdisciplinary Initiatives, the Program Analyst manages a wide variety of analyses, strategies, and implementations to support the development and success of interdisciplinary initiatives in CDSS. The PA works closely with members of the Dean's Cabinet and centers and institutes within and affiliated with CDSS. Implements strategic initiatives for the college, including the Dean's Distinguished Lecture series and the State of the Planet Lectures Series, as well as staffing and research for a variety of committees, working groups, and task forces. The Program Analyst collaborates closely with faculty and staff of CDSS interdisciplinary units to support key objectives. This individual integrates input and lessons learned from across campus to understand the relative opportunities and challenges associated with new programs, such as research initiatives and corporate engagement strategy; works with key stakeholders to develop and implement the initiative. Manages a wide variety of internal and public-facing programs, including awards, lectures, and research convenings, especially related to core themes, including environment, social wellbeing, and human health. Application Review Date The First Review Date for this job is: 11/10/25 - Open until filled Responsibilities 20% Proposes and provides staffing for policy and planning committees, task forces, and working groups to meet the academic and operational goals of the college's interdisciplinary mission. Provides analysis and committee support for strategic and ad hoc efforts, including industry engagement, funding strategy, and efforts around CDSS research themes. Implements actions and events as recommended. Collaborates with the leadership of key units and programs, such as the Berkeley Institute for Data Science (BIDS), the Bakar Institute of Digital Materials for the Planet (BIDMaP), and others. 10% Proposes a strategy for programmatic and structural needs to promote interdisciplinary collaboration, specifically related to faculty-defined priorities for interdisciplinary research and identified intellectual themes. Incorporates recommendations from faculty committees, center directors, and individuals. Coordinates with faculty experts and stakeholders to generate content. 15% Performs ad hoc, analytical studies as needed for the wide variety of programs and complex issues for the wide variety of topics that faculty committees are handling. Determines, in collaboration with committee chairs, what materials will be constructive in advance of meetings and in follow-up; prepares materials and distributes to maximize committee productivity and limit faculty administrative burden. Provides analyses of internal and external corporate engagement programs as benchmarks. Performs budget, financial, academic, data, and systems analysis. Collaborates with executive leadership, academic leadership, program coordinators, and managers, to enhance corporate engagement strategy, communication, and implementation in CDSS. 15% Develops proposals to fund programming in collaboration with college leadership and/or leadership of interdisciplinary centers and institutes, and involved faculty. For philanthropic proposals, collaborates closely with Development. Researches complex programs, benchmarks similar processes, distils scientific data, and communicates plans clearly in writing. 15% Collaborates with events staff, faculty committees, faculty stakeholders, and the college leadership team to plan lectures and events. Liaises between faculty committees, which will set objectives, and the events staff to meet the objectives of each event. Coordinates implementation with cross-organizational departments or external entities. Prepares briefings, content, draft questions for panels, and talking points or scripts for leadership, including the dean. Establishes and maintains contacts internally and with external constituents for the collection and exchange of data. 5% Conducts post-implementation analysis to determine the need for further enhancements, finer distinctions, and/or additional process/policy components for the purpose of maintaining and improving event quality and stakeholder engagement over time. Tracks progress and prepares reports, including donor reports, in collaboration with development, to document results, including for donor-funded lectures and events. 5% Researches and summarizes best practices among peers on and off campus. Develops process and procedures handbooks to increase efficiency and process understanding, facilitates staff and faculty objectives when working through relevant processes, and promotes process transparency and increased understanding of best practices. Conducts programmatic benchmarks. 5% Research, monitors and analyzes regulations, legislation, research literature, and UC policies for a variety of needs within the college, such as preparing draft RFI responses to funding agencies. Prepares directives, regulations, technical guidance, and other instructions for issuance to stakeholders. 5% Develops scope of work, budgets, and reports for project requirements. 5% Other duties as assigned. Required Qualifications Knowledge of common organization, or research-specific, and other computer application programs. Excellent communication and interpersonal skills to communicate effectively, both verbally and in writing. Ability to use discretion and maintain all confidentiality. Analytical / problem-solving skills. Strong skills in analyzing, researching, and synthesizing large amounts of data for preparing sound and relevant proposals/analyses. Ability to multi-task with demanding timeframes. Strong policy analysis techniques. Ability to anticipate workflows and timing, generate workplaces, and prioritize. Ability to observe group dynamics and assess strategies for communication. . click apply for full job details