30 jobs found

Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. This is a leadership-leaning role with real engineering teeth: you'll mentor engineers, unblock execution, set technical direction, and quietly hold the line on quality across the platform. Responsibilities Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down complex work into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Strong customer-service orientation. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Familiarity with enterprise-scale software deployment architectures. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Experience with frontend UI development. Production-grade software development experience in Java and Python. Experience productizing software as containers with Docker/Kubernetes. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details

Job Description Job Description THAAD System Operator OverviewSimTech, Inc., recognized as one of the 2026 Best Places for Working Parents, is seeking a THAAD System Operator to join our dynamic and diverse corporate team in Huntsville, AL. SimTech offers a market leading compensation package with excellent benefits, work/life balance, outstanding retirement plan, career advancement and much more. The THAAD System Operator will support test events by collaborating with team members, operating assigned systems and simulation workstations, and applying component-specific setup and testing procedures. Responsibilities Collaboration within a team environment while emphasizing individual contributions to effectively complete a test event, which can span from a few weeks to several months. Ability to operate one of many workstations, on an as needed basis, to include, but not limited to: THAAD Fire Control and Communications (TFCC), THAAD Radar (AN/TPY-2 TM), Simulation-Over-Live-Driver (SOLD), Common Data Link Interface-Module (CDLI-M) and the Network Systems Integration and Test Environment (NSITE) workstation. Will be required to learn individual component specifics as required to conduct tests, such as component initialization parameters and specific test operating procedures. Perform data collection and post-test processing of data. Off-hours and travel may be required. Other responsibilities as assigned. Minimum Qualifications & Education RequirementsBachelor 's degree from an accredited university, with 3 years of relevant experience; or may substitute with High school diploma and 6 years of relevant work experience. Excellent troubleshooting, analytical, and problem-solving skills. Good verbal and written communications skills. Some Unix/Linux experience and knowledge of Missile Defense Systems is a plus. U.S. Citizenship with an Active Secret security clearance or ability to obtain/maintain security clearance required. Physical DescriptionEmployees in these positions will function in a general office/cubicle setting environment, and laboratory/testing setting using standard office equipment and various electronic testing equipment, including a computer, telephone, printers, video equipment, computer software and testing equipment. Will interact in a general office setting environment with various personnel; participate in meetings and contribute to team success; deliver timely results and produce reports; receive and communicate information; may include telework. May function in a specialized laboratory/testing environment using electronic testing equipment, computer software and complex systems. May move and test equipment of various weights. Laboratory environment may require use of protective equipment (PPE) including but not limited to safety glasses and protective hearing and footwear. May be expected to work varying shifts and hours to ensure successful operation of activities in the organization due to business demands; travel occasionally for assigned work. About SimTech, Inc.SimTech's mission is to be the most reliable and cost-effective provider of Signature Models, Simulations, Hardware, Software, Cyber solutions, and Test & Evaluation services. Established in 1983 by a team of experienced scientists and engineers, SimTech has a long history of delivering high-technology defense-oriented solutions. The company has been recognized as a "Best Place to Work" in 2020 and 2021, and as a "Best Place for Working Parents" in by the Huntsville/Madison County Chamber of Commerce. SimTech offers an industry-leading comprehensive compensation and benefits package. Be a part of over 43+ years of excellence-join our team today! To learn more about our exceptional team and employee benefits, contact SimTech HR or visit for more information. Equal Employment Opportunity and Affirmative Action EmployerSimTech, Inc. is an Equal Opportunity/Affirmative Action Employer. SimTech, Inc. is a committed EOE/Vet/Disabled employer. Simulation Technologies, Inc. (SimTech) is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following email address, and/or phone number ) to contact us about your interest in employment with SimTech. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. SimTech participates in E-Verify. Job Posted by ApplicantPro

Job Description Job Description R&D Engineer Location: Huntington Beach, CA Compensation: $90,000 - $105,000 annually (depending on experience) About the Role SprintRay is redefining digital dentistry by offering the industry's only complete 3D printing solution, seamlessly integrating cutting-edge technology, advanced materials, clinical education, and dedicated customer support throughout the customer journey. As an R&D Engineer, Materials, you will play a hands-on role in developing, testing, and scaling advanced photopolymer resins that power SprintRay's 3D printing ecosystem. Working closely with scientists, engineers, and manufacturing teams, you'll help bring next-generation dental materials from concept to production through laboratory experimentation, data-driven problem solving, and cross-functional collaboration. This is a fully on-site role ideal for someone with a passion for materials science, innovation, and delivering high-quality solutions for digital dentistry. Key Responsibilities Conduct research to develop new 3D printing resins and photopolymerization formulations for digital dentistry. Manufacture, characterize, and test polymer resins to define requirements for next-generation dental products. Scale up R&D formulations and provide continuous support to resin production and manufacturability improvements. Optimize resin settings and establish materials standards to meet quality, usability, and print consistency requirements. Prepares R&D documentation and reports by collecting, analyzing, and summarizing information. Maintain the cleanliness and organization in workshop area. Follow safety rules and procedures constantly. Collect data and perform statistical analysis on user experience to drive product features and reliability improvements. Monitor top product failure modes and provide manufacturing knowledge to QA to reduce production costs. Maintain a functional Mechanical workshop and maintain inventory level of the R&D department. Required Qualifications Bachelor's degree in Materials Science, Chemical Engineering, Manufacturing Engineering, or a related discipline (or equivalent practical experience). 3+ years of experience developing, manufacturing, characterizing, and testing polymer or photopolymer resin systems. Strong understanding of photopolymerization chemistry, resin formulations, and additive technologies. Hands-on experience with materials characterization, laboratory testing, and experimental design. Proficiency in collecting, analyzing, and interpreting experimental data to support technical decisions. Knowledge of polymer and materials science principles, including structure-property relationships. Familiarity with dental materials, additive manufacturing, or medical device products is preferred. Experience supporting process development, optimization, and continuous improvement initiatives. Strong analytical and problem-solving skills with a methodical, data-driven approach. Excellent organizational and time management skills, with the ability to manage multiple priorities. Exceptional attention to detail and commitment to producing high-quality, accurate work. Strong written and verbal communication skills, with the ability to document findings and collaborate effectively across cross-functional teams. Demonstrated ability to work both independently and collaboratively in a fast-paced R&D environment. Employment Type Full-time About SprintRay SprintRay is rewriting the rules of dentistry with technology that's smart, fast, and designed to make life easier for dental professionals. Since 2014, we've been on a mission to deliver the most advanced 3D printing solutions in the industry-combining hardware, software, and materials into one seamless ecosystem. But what really makes SprintRay different is our people. We're a bold, global team of innovators, problem-solvers, and doers who thrive on pushing boundaries and challenging the status quo. Every product we create is driven by a simple goal: help dentists spend less time on repetitive tasks and more time changing patients' lives. Our culture is entrepreneurial, collaborative, and fueled by curiosity. We celebrate diverse perspectives and believe the best ideas can come from anywhere. Whether we're building next-generation AI tools, designing new materials, or supporting our customers on the front lines, we're united by the same passion-transforming digital dentistry and having fun while we do it. At SprintRay, the future of dentistry is being printed today. Want to be part of it? Equal Opportunity Employer SprintRay is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. To All Recruitment Agencies: Without a written agreement signed by an officer of SprintRay: a) SprintRay does not accept resumes from recruiting agencies, headhunters, or any other party expecting payment in the event SprintRay speaks with or hires a candidate from such submitted resume; b) SprintRay is not responsible for any fees related to unsolicited resumes or related Terms of Service, and c) Unsolicited resumes received will be considered the property of SprintRay and will be processed accordingly. Accessibility If you need a reasonable accommodation during the application or interview process, please contact us at .

Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance

Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are looking for Quantum Engineers to work on all aspects of neutral atom quantum computing. As a Quantum Engineer at Atom Computing, you will join a team of talented scientists and engineers who are working to translate fundamental atomic physics to a scalable, fault-tolerant quantum computer. We welcome applicants from a diverse set of backgrounds, but are specifically interested in candidates with experience in the following fields: Trapping and manipulation of cold atoms; Coherent control of quantum systems (for example: neutral atoms, trapped ions, NV- centers, nuclear magnetic resonance, superconducting qubits); Quantum characterization, verification, and validation (QCVV) techniques. Responsibilities Design and construct the scientific hardware and control interfaces (both hardware and software) that are the essential backbone of the quantum computing platform. Generate intellectual property related to the design and operation of neutral-atom-based quantum computers. Distill and communicate findings internally, and as appropriate, in external publications and presentations. Capable of lifting and moving objects that weigh up to 25 pounds. Experience & Education PhD in Physics, Chemistry, Engineering, or a related field. 4+ years work industry experience designing and operating quantum computing hardware, including an explicit technical leadership role. Required Qualifications Extensive knowledge of the state-of-the-art techniques used in atomic physics and quantum computing research Deep understanding of the fundamental interactions between light and matter. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Proven track record of successfully leading high impact technical projects Preferred Qualifications Familiarity with Python and Git software version control Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, we offer unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The salary range for this position is between $200,000 - $230,000, commensurate with experience. In addition to salary, we offer an annual bonus, sign-on bonus and incentive stock options for equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description HRL Laboratories, an IBM company, pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned by IBM, HRL prioritizes purpose over profit, significantly advancing the state of the art. HRL Laboratories advances critical structural and functional materials and semiconductor devices that enable precision navigation, quantum technologies and extreme-environment performance. With expertise from design through deployment, we deliver scalable, high-performance solutions that transform our customers' missions. Our work leverages digital manufacturing and scalable microfabrication techniques to meet tomorrow's toughest challenges. Position Summary: • Design, build, test, and analyze optical, optoelectronic, and photonic experiments for quantum communications systems and platforms • Collaborate with multidisciplinary R&D teams to advance quantum communications technologies Key Responsibilities: • Perform critical engineering and R&D under the supervision of staff scientists for next generation quantum photonic/electronic devices and deployable optical payloads • Design, model, setup, and test of free-space and/fiber optic experiments and design and fabrication of state-of-the-art semiconductor devices • Improve processes, perform measurements, collect, summarize, and analyze data, present and discuss data with other scientists • Work with mechanical and electrical teams to troubleshoot complex systems Required Qualifications: • Bachelor's or master's in physics, Electrical Engineering, Optical Engineering, or related discipline • Some prior experience working with any of microfabrication, free-space/fiber optics, electronics, computer-controlled experiments obtain through coursework, independent study, or other internships • Strong desire to learn and be trained in scientific laboratory techniques and experimental procedures • Must be able to work well in a dynamic team environment and possess excellent communication skills • Working knowledge of free space optics, fiber optics, mechanical CAD software, and rf-test equipment (spectrum analyzers, power meters, oscilloscopes) Physical Requirements: • Must be able to work safely in an optical testing laboratory • Excellent verbal and written communication skills and organization skills are required • Must be proficient in use of computers, engineering workstations, and complex electronic equipment Special Requirements: • US Citizenship with the ability to obtain and maintain a US Government security clearance Compensation and Benefits: Pay Range : $81,800- 98,900 Our salary ranges are determined by role, level, and location (California). The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Benefits: HRL offers a generous and very competitive total compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and challenging work environment. For more information about our company benefit offerings please visit: Non-Discrimination and Equal Employment Opportunities (U.S.) Don't meet every single requirement? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing. If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants u007C U.S. Equal Employment Opportunity Commission For our privacy policy please visit: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Principal AI Engineer Summary: Design and advance AI models and system innovations in close collaboration with cross-functional teams, including Product Management, Software Engineering, and Pre-Sales-to ensure high-quality performance and delivery. Develop which are LLMs designed to solve our customers' business problems in areas such as fraud, collections, financial services operations, financial education software. Implement novel architectures (transformers and others), optimizing distributed training pipelines (Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business-relevant benchmarks. Communicating to high-level stakeholders internally and externally. Conduct hands-on analysis of large historical datasets to identify the best modeling techniques, demonstrating expertise in various algorithms and modeling processes with cutting-edge machine learning techniques. Guide and mentor scientists to support their career development. Drive innovation and inorganic growth of new and existing products through offering and promoting refined ideas. Requirements: Excellent software engineering skills, experience in Python, Rust and/or C++. Experience with pre/post training of modern AI architectures (transformers, encoders, decoders, diffusion). Real-world experience with distributed systems and concurrency. Experience with Reinforcement Learning (RL), Simulation and/or Synthetic Data Generation. Prior experience managing, scaling and delivering high-quality, on-time AI/ML projects. MS or PhD in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics, or related fields. Requires full-time, on-site presence at the office in San Diego, CA. Willingness to travel up to 10%.

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in San Francisco, Bay Area. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description H2O.ai is on a mission to democratize AI for Good. As the world's leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built Agents, SLMs, and solutions on their private data. With a focus on secure, compliant, and infrastructure-flexible Sovereign AI deployments, H2O.ai delivers solutions that align with the highest standards of data privacy and control. Its open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Wells Fargo, Bank of America, Workday, Progressive Insurance, and NIH. For more information, visit . About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one. You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes. This position is based in Dallas, Texas and requires onsite customer interfacing. What You Will Do Customer Engagement Leadership Lead end-to-end technical engagement with enterprise customers, acting as the senior point of accountability for delivery quality, stakeholder relationships, and outcomes. Manage multiple concurrent engagement streams simultaneously - coordinating workplans, resourcing, and milestones across cross-functional teams. Serve as the primary technical escalation point for customer issues, proactively identifying risks and driving resolution across engineering, product, and leadership. Build and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders - translating business needs into technical direction and back again. Lead pre-sales and proof-of-concept engagements, setting the technical strategy and ensuring the team delivers demonstrations that build genuine enterprise trust. Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step enterprise workflows. Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety. Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best into customer engagements. End-to-End AI Application Development Own the full development lifecycle across multiple streams: from problem framing and data exploration through model development, API integration, and production deployment. Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows. Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale. Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production. Team Collaboration & Delivery Excellence Coordinate delivery across engineers, program managers, and solution architects - ensuring workstreams are aligned, unblocked, and progressing to plan. Set the technical bar for the engagements you lead, reviewing outputs, shaping architecture decisions, and ensuring engineering quality across the team. Mentor and guide junior ML engineers and solution engineers within engagements, building team capability alongside delivery. Collaborate closely with H2O.ai product and engineering teams to surface customer feedback, shape roadmap input, and resolve platform-level issues. What We Are Looking For Experience & Background 8+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment. Demonstrable experience leading technical delivery across complex, multi-stakeholder enterprise engagements - not just executing within them. Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes). Skills & Capabilities Proven ability to manage multiple concurrent workstreams and coordinate cross-functional teams toward shared delivery milestones. Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps. Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM. Backend development skills: REST APIs, containerisation (Docker/Kubernetes), and CI/CD pipelines for AI applications. Strong executive communication - able to run a board-level briefing one hour and a technical design review the next, credibly. Comfortable with ambiguity and able to set direction for a team when requirements are incomplete or evolving. How to Stand Out From the Crowd Kaggle or competitive ML experience. Familiarity with H2O.ai products, Wave, or H2O Document AI. Experience in financial services, healthcare, or other regulated industry AI deployments. Exposure to tabular foundation models, AutoML, or enterprise ML platforms. Prior experience in a customer-facing or field engineering role. Why H2O.ai? Market leader in total rewards Remote-friendly culture Flexible working environment Be part of a world-class team Career growth The base salary for this role ranges from $175,000 to $200,000. Compensation is determined based on several factors, including skills, experience, job scope, location, and relevant market compensation data. H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose. Please visit to learn more.

Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job description: We are seeking a talented Lead UI Software Developer with a strong foundation in computer science and an eye for thoughtful UI/UX design. You will lead a team of 5 developers and designers. Youll build sophisticated web applications for simulation and optimization software that models complex physical systems . Youll work alongside Research Scientists and Software Engineers on small, highly collaborative teams, contributing throughout the development lifecyclefrom concept and prototyping through visualization, implementation, testing, and deployment. This is an opportunity to work on technically challenging problems where software, science, and design intersect.Team members have broad ownership and the flexibility to apply their strengths while developing new skills. What Youll Do Design and develop modern, responsive front-end web applications using JavaScript/TypeScript and React Create intuitive interfaces for complex scientific and engineering applications Develop data visualizations and interactive tools that help users understand complex models and results Collaborate with software engineers and research scientists to translate technical requirements into effective user experiences Prototype, test, troubleshoot, and optimize applications for performance, security, and usability Contribute across the full software development lifecycle, from early concepts through deployment Required Qualifications Bachelors degree in Computer Science or a related technical field 8+ years of relevant UI software development experience along with leadership Strong experience with JavaScript or TypeScript, React, HTML, and CSS Experience developing front-end web applications Experience with UI/UX design or a strong understanding of user-centered design principles Excellent written and verbal communication skills US CITIZENSHIP Preferred Qualifications Experience with Java or Python Experience with Spring Boot, Redux, WebGL, or OpenGL Experience building interfaces for data-intensive, scientific, or engineering applications Experience with front-end testing and mocking frameworks Understanding of REST APIs, back-end development, and relational or document databases Experience optimizing web applications for performance, responsiveness, and security ACTIVE SECRET OR TOP SECRET CLEARANCE Why This Role If you enjoy solving difficult problems, building polished user experiences, and working alongside people who are pushing the boundaries of science and technology, this role offers the opportunity to have meaningful technical ownership from concept to deployment. Qualifications: What Youll Do Design and develop modern, responsive front-end web applications using JavaScript/TypeScript and React Create intuitive interfaces for complex scientific and engineering applications Develop data visualizations and interactive tools that help users understand complex models and results Collaborate with software engineers and research scientists to translate technical requirements into effective user experiences Prototype, test, troubleshoot, and optimize applications for performance, security, and usability Contribute across the full software development lifecycle, from early concepts through deployment Required Qualifications Bachelors degree in Computer Science or a related technical field 8+ years of relevant UI software development experience along with leadership Strong experience with JavaScript or TypeScript, React, HTML, and CSS Experience developing front-end web applications Experience with UI/UX design or a strong understanding of user-centered design principles Excellent written and verbal communication skills US CITIZENSHIP Preferred Qualifications Experience with Java or Python Experience with Spring Boot, Redux, WebGL, or OpenGL Experience building interfaces for data-intensive, scientific, or engineering applications Experience with front-end testing and mocking frameworks Understanding of REST APIs, back-end development, and relational or document databases Experience optimizing web applications for performance, responsiveness, and security ACTIVE SECRET OR TOP SECRET CLEARANCE Why is This a Great Opportunity: We are seeking a talented Lead UI Software Developer with a strong foundation in computer science and an eye for thoughtful UI/UX design. You will lead a team of 5 developers and designers. Youll build sophisticated web applications for simulation and optimization software that models complex physical systems . Salary Type : Annual Salary Salary Min : $ 150000 Salary Max : $ 175000 Currency Type : USD

Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description A Senior Data Engineer at Visa plays a pivotal role within a cross-disciplined agile team, contributing to the product backlog and delivering critical features to enhance data presentation for customers and engineering teams. This position involves driving improvements to processes and practices, providing technical leadership, and mentoring others. The role requires dedication to technical excellence in code writing, team collaboration, testing, and documentation. Senior Data Engineers work alongside intermediate and senior engineers, agile team members, and consultants, demonstrating strong communication skills and a willingness to collaborate across disciplines as needed. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solution fixes. Translate functional requirements into system designs and communicate component interactions. Design and develop product components, refine code plans for architecture, and lead design reviews. Participate in project estimation and review product estimations, considering delivery costs and escalating issues as needed. Lead by example and mentor others in creating extensible, maintainable, and reusable code. Apply debugging tools to address moderately complex issues and identify opportunities for automation. Lead code reviews to ensure coding standards and best practices are followed. Create complex test plans, identify tools, prioritize tests, and interpret test results to inform planning. Proactively identify and contain defects in software code to minimize customer impact and share findings with stakeholders across product features. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Expert-level experience with the Spark framework, Hive-based technologies, and broader Big Data development tools and platforms. 5+ years of hands-on programming experience in Java, Scala, or Python, with the ability to quickly develop clean, production-quality prototypes and core application components. Practical experience applying Generative AI and Large Language Models in data engineering, including leading initiatives that leverage GenAI to improve team productivity and operational efficiency. Strong working knowledge of SQL, NoSQL, graph databases, and RESTful APIs. Demonstrated success leading large-scale, end-to-end projects that deliver measurable business impact, from initial concept through production delivery. Strong understanding of algorithms, data structures, and core computer science fundamentals. Practical experience with data modeling for both relational and non-relational database systems. Experience collaborating with data scientists and machine learning teams, with the ability to discuss major machine learning paradigms, algorithms, and common software tools. Hands-on experience designing, building, and managing reliable data pipelines that move data across systems using tools such as Apache Airflow. Proficiency with version control systems such as Git, along with experience implementing CI/CD pipelines for automated testing, deployment, and release management. Demonstrated leadership behaviors, including a positive mindset, quick learning ability, collaboration, courage in leadership, and strong customer obsession. Experience in mentoring junior engineers and providing technical leadership. Experience in refining code plans for architecture and sharing learnings with the team. Experience in driving security assessment processes to ensure code quality. Experience in collaborating with cross-functional teams to deliver solutions. Ability to manage multiple, competing priorities effectively in a fast-paced, dynamic environment. Experience supporting data quality, data lineage, data governance, compliance, and security requirements within data engineering environments. Information for US Applicants For roles located in the US, the estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Data Scientist is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks. Develop and execute a vision for data science capabilities aligned with business goals. Lead the design and development of large-scale data science systems and foster innovation within the team. Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends. Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders. Develop and maintain expertise in multiple programming languages and data science tools. Identify opportunities for data science to drive business impact and present results to senior leadership and business partners. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD). Preferred Qualifications: 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). Experience with time series forecasting methodologies, including classical approaches such as SARIMA/SARIMAX or Vector-Autoregression / Vector-Error-Correction, and advanced local/global forecasting methods such as N-HiTS, TFT, DeepAR, NeuralProphet, or similar techniques. Familiarity with emerging time series foundation models and generative forecasting approaches, such as TimesFM, TimeGPT, or related AI-driven forecasting tools, with a demonstrated ability to stay current with new developments in forecasting and applied machine learning. Experience incorporating AI and automation capabilities into regular data science workflows to improve forecasting accuracy, experimentation speed, model monitoring, optimization, scalability, and overall team efficiency. Experience in developing advanced data science models. Experience in multiple programming languages (e.g., Python, R, Spark). Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn). Experience working with real-world data sets and building scalable models from large-scale data. Experience working with cross-functional teams (e.g., product, engineering, marketing). Experience in project management and meeting deadlines in a fast-moving environment. Experience working in global organizations and collaborating with stakeholders and development teams across regions. Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses. Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide. Previous exposure to financial services or payments industry. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose The Data and Solution Architect is responsible for defining, governing, and advancing the enterprise data architecture required to enable scalable, trusted, and responsible AI solutions in the AI Hub. This role ensures that data platforms, models, standards, and semantic structures are designed to support AI/ML, Generative AI, Agentic AI, experimentation (POCs), and production deployment, while aligning with enterprise data governance, security, and compliance requirements. Key Accountabilities AI Ready Data Architecture & Design Lead the design of logical, physical, and semantic data architectures to support AI, advanced analytics, GenAI and Agentic AI use cases Define AI ready data models, feature oriented structures, and analytics ready data assets aligned to enterprise data platforms Ensure architectural alignment between data platforms, AI tooling, and MLOps pipelines Support design and governance of the Foundry Ontology layer as the enterprise semantic backbone for AI use cases Data Standards, Governance & Semantics Work closely with Data Architecture and Governance teams, define and enforce data standards, metadata practices, naming conventions, and master/reference data patterns for AI use cases Establish and maintain semantic consistency (business definitions, critical data elements, feature definitions) to enable explainable and reusable AI Partner with Data Governance, Legal, and Compliance teams to ensure responsible and compliant AI data usage AI Use Case Enablement & POC Support Architect data flows and patterns supporting AI POCs, experimentation environments, and sandbox platforms Guide data sourcing, profiling, and readiness activities for AI Data Scientists, Data and AI Engineers Own the data architecture stage-gate process across POC, expanded pilot, and production phases; define and maintain AI-readiness scorecards to assess data asset maturity at each stage Data Platform, Integration and Solution Architecture Architect integrations across source systems, data platforms, analytics tools, and AI services Evaluate and onboard new data sources and technologies to meet evolving AI requirements Define reference architecture and architectural guardrails for cloud, hybrid, and global deployments Lead/support solution architecture development for projects/products, where necessary Collaboration, Review & Enablement Serve as a data and solution architecture authority for AI related initiatives and design reviews Mentor junior architects, data engineers and provide architectural guidance to delivery teams Contribute to AI Hub (COE), communities of practice, standards bodies, and architecture review forums Qualifications, Experience, and Skills Bachelor's degree in Computer Science, Information Systems, Data Engineering/ Data Science, or related field 8+ years of experience in data architecture, solution architecture, enterprise data platforms, or analytics architecture Demonstrated experience supporting AI/ML, advanced analytics, or data driven product initiatives Experience operating in federated governance or hub and spoke operating models Experience with data profiling and data quality management Workstyle This is an onsite job. One remote workday per week, may be possible with prior departmental approval. Visa sponsorship issues This position is not eligible for work visa sponsorship What differentiates Honda and makes us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Regional Bonus (when applicable) Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued learning Training and Development Programs Additional Offerings: Lifestyle Account Childcare Reimbursement Account Elder Care Support Tuition Assistance & Student Loan Repayment Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Southern Glazer's Wine & Spirits seeks a 2027 Summer Data Scientist/Analyst Intern to support analytics in the wholesale wine and spirits industry. You'll work with large sales, inventory, and customer datasets to build insights that guide pricing, assortment, and supply chain decisions. Responsibilities include data cleaning, exploratory analysis, dashboard building, and assisting with predictive models using tools like SQL, Python, and BI platforms. Partner with sales, operations, and finance teams to deliver clear visualizations and recommendations in a collaborative, people-first culture with strong learning opportunities. Responsibilities Support senior data scientists in analyzing sales, inventory, and customer data to uncover trends in wholesale beverage distribution Build and validate predictive models and dashboards to improve forecasting, pricing, and assortment decisions Clean, join, and document large datasets from multiple internal systems using SQL and scripting tools Create clear reports and visualizations for business stakeholders in sales, supply chain, and finance Collaborate with cross-functional teams on experiments and data-driven recommendations Present findings and insights to both technical and non-technical audiences Assist with data quality checks, metric definitions, and governance documentation Stay current on analytics and data science best practices relevant to wholesale and supply chain Required Skills Data analysis SQLPython or RStatistical modeling Data visualization (Tableau/Power BI) Dashboard development Data cleaning and transformation Experimental design/AB testing basics Storytelling with data Excel/Google Sheets

Work Authorization Candidates must currently reside in the Pittsburgh area and be available for a hybrid schedule. This opportunity is for direct hire only and is not available for C2C, third-party submissions, or visa sponsorship Data Scientist We are seeking a versatile Data Scientist to join our team in Pittsburgh, PA. This is a direct hire position offering a hybrid work schedule for candidates who currently reside in the Pittsburgh area. This role is not open to C2C, visa sponsorship, or third parties. Role Overview In this role, you will design, build, and optimize data pipelines while also delivering advanced analytics, predictive modeling, and business insights. You will work across modern cloud platforms and leverage Microsoft Fabric to unify data engineering, analytics, and business intelligence efforts. Microsoft Fabric's integrated ecosystem supports OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream, Spark notebooks, and Power BI, making it well suited for this type of end-to-end analytics work. Key Responsibilities Design, develop, and maintain interactive dashboards and analytical solutions in Power BI, including Direct Lake semantic models, Copilot-enabled experiences, paginated reports, and executive scorecards. Power BI Copilot provides chat-based analysis and support for tasks such as DAX generation and on-the-fly analysis. Build KPI-driven dashboards for pricing analytics, POS sales trends, inventory optimization, supply chain performance, customer purchasing behavior, and branch/DC operational analytics. Enable self-service analytics through governed semantic models, curated datasets, and reusable reporting assets. Direct Lake semantic models are optimized for large data volumes in Fabric. Develop predictive and prescriptive models for dynamic pricing, sales forecasting, demand planning, customer segmentation, lost sales analysis, and inventory replenishment. Apply machine learning and AI techniques using Python, Spark notebooks, Fabric Data Science workloads, and Azure AI / OpenAI capabilities. Fabric supports Azure OpenAI and related AI services through integrated tooling. Support AI-driven initiatives such as Copilot-enabled analytics, conversational BI, sentiment analysis, speech-to-text analytics, and agentic AI use cases. Work extensively within the Microsoft Fabric ecosystem, including OneLake, Lakehouse, Data Warehouse, Data Factory, Dataflows Gen2, Eventstream / Real-Time Intelligence, Spark notebooks, semantic models, and Power BI. Support ingestion and transformation of enterprise data from Oracle, SQL Server, APIs, SaaS platforms, XML/JSON log files, and event streaming platforms. Partner with Pricing, Sales, Supply Chain, Operations, and IT teams to translate business needs into technical analytics solutions and present findings to leadership. Contribute to enterprise data modernization and cloud transformation initiatives. Required Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or a related field. 3-5 years of experience in Data Analytics, Business Intelligence, Data Science, or a related analytics role. Strong experience with Power BI, SQL, data modeling, and dashboard development. Experience with Microsoft Azure and Microsoft Fabric. Proficiency in Python for analytics and data manipulation. Experience working with large enterprise datasets. Preferred Qualifications Experience with Microsoft Fabric services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event Hub, and XML/JSON data processing. Familiarity with cloud data warehouse modernization initiatives. Microsoft certifications in Azure, Power BI, Fabric, or Data Engineering are a plus. Technical Skills Required Preferred Required Preferred Power BI Microsoft Fabric SQL Azure Synapse Python Spark / PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.