330 jobs found

Staff Machine Learning Engineer We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact? Our client - a fast-growing AI company revolutionising healthcare - is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems. This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry. Responsibilities: Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions. Mentor and guide other engineers, setting standards and shaping the company's ML engineering practices. Architect robust systems that support high-volume batch and real-time inference. Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment. Build and maintain pipelines for data ingestion, training, evaluation, and model serving. Implement monitoring, observability, and reliability frameworks to ensure production-grade performance. Optimise performance across the ML stack - balancing latency, scalability, and cost-efficiency. Requirements: Experience building and deploying ML models in production environments. Strong programming background in Python , Go , C++ , or Java . Experience with distributed training , data pipelines , and real-time inference systems . Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) . Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker). Why apply? Competitive compensation and equity package. Flexible and hybrid work options across major U.S. tech hubs. A high-growth, collaborative culture where ownership and innovation are valued. A mission-driven environment - shaping the future of AI-powered healthcare . To apply please contact Sam Shinner at Discover International

Job Id: 798995 Data Scientist Location: Remote - Resource must be currently located in Indiana Client: IN- DOH Duration: 06 Months Job Description: The Data Scientist plays a key role by creating in-depth analyses by leveraging data science techniques, methods, and interpretations to convey accurate, meaningful insights that empower IDOH and other partners to make informed decisions in support of the health, safety, and well-being of the citizens of Indiana. Essential Duties/Responsibilities: The essential functions of this role are as follows: Provides mentoring and guidance to other, more junior Data Scientists and staff Support the development of internal web applications or interactive tools that help operationalize and deliver data science products across the organization. Acts as mentor and DS SME for other more junior DS users across the state and key external stakeholders Engages with key business stakeholders on large projects and initiatives to understand their analytical and operational challenges and translate these needs into data solutions Assesses the structure, content, and quality of the data through examination of source systems and data samples Collaborates with other DS professionals, data engineers, and BI professionals around data/table structures to optimize architecture, ETL procedures, dashboards, and other self-service needs Prioritizes requirements and create rapid prototypes and minimally viable products for end users Looks for opportunities to improve current processes or find efficiencies by applying industry best practices as a DS professional Mines and analyzes data from state databases to drive insights into problems and efficiency in processes while maintaining the standards of organizational excellence Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation, to data mining, to more complex statistical methodologies Uses and monitors the input for code repositories like GitHub for code version control Provides end user education for interpretation of business data Tests and evaluates data solutions as it relates to upgrades to existing software Provides maintenance and support for existing data solutions for the agency Documents and communicates technical specifications to ensure that proper techniques and standards are incorporated into deliverables and understood by the end users The job profile is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. Job Requirements: The ideal candidate in this role should minimally have either: A Bachelor's Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2 years of experience and passion for leveraging data to drive significant organizational impact, or a Master's Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics, or 4 years of experience and passion for leveraging data to drive significant organizational impact. Considerable knowledge using computer languages (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation Broad knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages and drawbacks Strong understanding of relational and dimensional databases, theories, principles, and practices Exceptional analytical, conceptual, and problem-solving abilities Must inhabit strategic thinking Strong written/oral communication and presentation skills Resourceful self-starter and highly motivated team player Able to perform well in a fast-paced environment Experience with data manipulation to include cleansing, standardizing, and transforming. Experience in leading workshops or training sessions with a user community a plus Experience with the following concepts or tools is not a requirement but considered a plus (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes) Experience generating and distributing visualizations to a broad range of audiences Effective communicator and someone who enjoys getting to understand nuances of a problem Proficiency using frameworks such as Shiny, Dash, Flask, or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications. Exceptional analytical, conceptual, and problem-solving abilities

Pay Rate: $45 per hour Location: Irvine, CA Summary: Work Mode: Not specified Responsibilities: Designs and builds scalable cloud-native applications, integrating AI and machine learning capabilities. Leads development of microservices, APIs, and full-stack solutions, ensuring reliability, security, and performance. Collaborates with cross-functional teams to implement DevOps practices, automated delivery pipelines, and strong observability. Contributes to AI-driven features such as document processing, chatbots, and AI agents. Architects, designs, and develops microservices-based applications for scalability. Utilizes containerization technologies for consistent deployment across environments. Implements and manages container orchestration for automated deployment and scaling. Architects solutions that scale horizontally and optimize resource utilization. Designs resilient and fault-tolerant applications for high availability. Implements robust monitoring and logging practices using tools like Prometheus and Grafana. Champions API-first design principles for seamless communication between microservices. Mentors and guides other developers, fostering a culture of engineering excellence. Assists in building AI/ML solutions, including document understanding and chatbot functionality. Supports development of AI agents and workflows integrating with internal systems. Tests and evaluates AI models, including large language models and computer vision systems. Gains exposure to MLOps practices such as model versioning and deployment automation. Embraces agile methodologies for rapid and iterative development cycles. Documents work clearly and adheres to established coding standards and practices. Requirements: Bachelor's degree in Computer Science or related field, or 5 years of experience. 10 years of experience in software development, including designing and deploying cloud-native applications. Proficiency in Python and libraries such as TensorFlow and PyTorch. Expertise in multiple programming languages such as C, Rust, Java, Python, or similar. Expertise in backend development and working knowledge of databases (SQL, NoSQL). Expertise in JavaScript frameworks like Angular.js, React.js, or Vue.js. Experience with scalable and resilient system design. Experience in Enterprise software design principles and event-driven architecture.

About Arcticom, LLC Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes. Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S. Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau. About this position Test Analyst Journeyman Location - Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $100,000-125,000 Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Plan, execute and manage complex integration-level system tests with multiple dependencies. Develop and execute test plans for AI/ML features, including model inference, data processing workflows, and integration with application logic Provide continuous risk assessment and timely escalation of software quality concerns, be an advocate for process improvements, as well as an individual contributor. Work closely with product owners and developers to meet QA commitments and align delivery priorities with business objectives. Validate training data quality, data transformations, and feature engineering steps to ensure model integrity Participate in, building, and maintaining data-driven test automation tools and frameworks using clean coding practices and functional programming methodologies. Perform debugging and root cause analysis of product issues or defects. Establish tight collaboration and feedback loops between various teams to improve the release process and maximize resource utilization in a fast-paced environment. Analyze user stories and use cases/requirements for validity and feasibility. Collaborate closely with other team members and departments. Execute all levels of testing (System, Integration and Regression). Design and develop automation scripts when needed. Detect and track software defects and inconsistencies. Apply quality engineering principles throughout the Agile product lifestyles. Provide support and documentation. Collaborate with SMEs for data gathering, business process details, and testing. Required (Minimum Necessary) Qualifications 8+ years of software testing experience. Must be a US Citizen. Knowledge, Skills, Abilities, and Other Characteristics Comprehensive knowledge of testing tools. Knowledge of Agile frameworks. Excellent communication skills. Understanding of regression testing. Ability to think critically and analytically. Ability to solve problems quickly and effectively. Ability to identify, analyze, and translate complex information; make appropriate judgements and evaluate options. Preferred Familiarity with AI and Machine Learning Supervisory Responsibilities • This position will not have supervisory responsibilities. You may delete this line if it does not apply to the job. DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. You may delete this line if it does not apply to the job. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking, or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily in a modern office setting. Occasional travel may be required. Position is a remote role. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

About Arcticom Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes. Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S. Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau. About this position: Technical Writer Location - Beavercreek, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: $95,000-120,000 Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities • Documentation of the Development Lifecycle o Analysis o Design o Development o Implementation o Evaluation o Maintenance • Produce high quality documentation for AI/ML systems, including API references, model usage guides, SDK documentation, architecture overviews, and integration tutorials • Designing and developing technical documentation for software and non-software systems • Create diagrams, flowcharts, and conceptual visuals to explain model architecture, data flows, and system interactions • Building interactive eLearning courses and storylines • Using eLearning software and authoring tools (e.g., Adobe Captivate, Advanced PowerPoint, Articulate, etc.) • Defining objectives and curriculum outlines • Document AI lifecycle processes such as data preparation, feature engineering, model training, evaluation, deployment, monitoring, and retraining • Developing technical documentation for technical writing for technical and non-technical users. • Reviewing pertinent documentation (e.g., user stories, requirements, specifications, etc.) concerning the subject and topics to be documented • Analyzing documented requirements, developing supporting documentation and eliciting feedback from the subject matter experts, and the target audience from which the documentation is written (Developing specifications) • Analyzing and interpreting specifications from which technical documentation will be written • Developing technical procedures to support operational processing activities. • Create or modify plans and procedures to create technical documentation, taking into consideration the requirements, intended use of the system, facility constraints and equipment, and need to involve system users. • Developing and modifying procedural manuals. Required (Minimum Necessary) Qualifications • Excellent written communication skills with the ability to simplify complex technical topics • Proficiency in MS product to include, but not limited to, MS Office, MS Project, and MS Visio • Strong understanding of machine learning fundamentals, including model types, training workflows, evaluation metrics, and deployment patterns • Ability to organize and facilitate planning and demonstrations • Able to write in explanatory and procedural styles for multiple audiences • Skilled at prioritization and multi-tasking Knowledge, Skills, Abilities, and Other Characteristics • Author, Plan, develop, organize, write, and edit complex IT network surveys, migration, design and implementation procedures, plans, and manuals • Research, develop and document technical design specifications and test scripts • Produce electronic documentation in addition to hard copies • Maintain a comprehensive library of technical terminology and documentation • Analyze documents to maintain continuity of style of content • Manage updates and revisions to technical literature • Maintain schedules of multiple deployed networking teams • Manage suspense system for all deliverables and ancillary documentation needs • Interview and collaborate with stakeholders to capture, develop, and write technical documentation, migration/integration/implementation plans, flowcharts, processes, technical orders, SOPs, and more ensuring accuracy, readability, and ease of use • Develop and write standardized technical tactics, techniques, and procedures • Establish standards and document review checklists • Understanding of project task-linked dependencies Preferred • N/A Supervisory Responsibilities • This position will not have supervisory responsibilities. You may delete this line if it does not apply to the job. DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. You may delete this line if it does not apply to the job. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily in a modern office setting. Occasional travel may be required. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Summary: Work Mode: Hybrid Responsibilities: Design, architect, and implement robust Python-based solutions Collaborate with global Technology Teams across different time zones Adhere to Object-Oriented Programming (OOPS) principle-based development standards Mentor and coach junior level developers Drive resolutions of high impact problems/projects through in-depth evaluation of complex business processes and industry standards Ensure application design adheres to the overall architecture blueprint Develop standards for coding, testing, debugging, and implementation Provide comprehensive in-depth analysis with interpretive thinking to define issues and develop innovative solutions Implement Unit Testing and TDD to ensure software quality and maintainability Assess risk when business decisions are made, demonstrating consideration for the company's reputation and compliance with applicable laws and regulations Requirements: Bachelors degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field or equivalent experience 3-5 years of experience with developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration Exposure to ML/DL/LLM algorithms, model architectures, and training techniques Proficiency in Python and related modules (e.g., numpy, pandas) Proficiency utilizing LLMs Ability to work independently and collaboratively within a team Experience with Python, GenAI, LangGraph, Java Preferred Skills: Experience in GenAI/LLMs projects Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) Background in financial business-like banking, risk management Experience with AI Dev tools such as Copilot

Pay Rate: $67.00 - $71.00 Negotiable based upon years of experience Summary: Location: Irving, TX Work Mode: Hybrid Responsibilities: Design, architect, and implement robust Python-based solutions. Collaborate with global Technology Teams across different time zones in a hybrid work model. Adhere to Object-Oriented Programming (OOPS) principle-based development standards. Mentor and coach junior level developers. Drive resolutions of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards. Ensure application design adheres to the overall architecture blueprint. Utilize knowledge of system flow to develop standards for coding, testing, debugging, and implementation. Provide comprehensive in-depth analysis with interpretive thinking to define issues and develop innovative solutions. Implement Unit Testing and TDD to ensure software quality and maintainability. Assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding its clients and assets by driving compliance with applicable laws, rules, and regulations. Requirements: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. 3-5 years of experience with developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration. Exposure to ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in Python and related modules (e.g., numpy, pandas). Proficiency utilizing LLMs. Ability to work independently and collaboratively within a team. Preferred Skills: Experience in GenAI/LLMs projects. Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). Background in financial business-like banking, risk management. Experience with AI Dev tools such as Copilot.

If you're an AI/ML engineer who thrives where data science meets production engineering, we have a rare opportunity to deploy cutting-edge AI at the Department of Energy - where your work powers the nation's most critical missions. The AI Integration Specialist is a pivotal role bridging the gap between cutting-edge AI/ML research and robust, scalable production systems. This individual possesses a deep understanding of data science principles, machine learning model development, and the engineering expertise required to seamlessly integrate AI solutions into existing enterprise applications and workflows. They will be responsible for ensuring that AI initiatives not only deliver accurate and insightful models but are also designed for operational efficiency, maintainability, and measurable business impact, particularly within the Department of Energy's critical missions. Design, develop, and implement strategies for integrating trained AI/ML models (e.g., predictive analytics, natural language processing, computer vision) into various existing IT systems, operational platforms, and software applications within the DOE. Work closely with data scientists to understand model requirements, performance characteristics, and potential integration challenges. Collaborate with software engineers and DevOps teams to establish robust CI/CD pipelines for AI/ML models, ensuring automated testing, deployment, and monitoring. Develop APIs and microservices to expose AI model functionality for consumption by other applications and services. Implement and manage MLOps (Machine Learning Operations) best practices, including model versioning, lineage tracking, performance monitoring, drift detection, and retraining strategies. Establish monitoring dashboards and alerting systems to proactively identify and address issues related to model performance, data quality, and system health. Act as a key liaison between data science teams and engineering/IT teams, translating complex data science concepts and model requirements into actionable engineering tasks. Provide technical guidance to data scientists on model design for production readiness, including considerations for efficiency, latency, and resource utilization. Participate in data exploration, feature engineering, and model experimentation processes to ensure data quality and model interpretability from an integration perspective. Contribute to the architectural design of AI-enabled systems, advocating for scalable, secure, and resilient solutions. Research and evaluate new technologies, frameworks, and tools for AI integration, deployment, and MLOps. Develop and enforce coding standards, documentation practices, and best practices for AI/ML system development. Communicate technical complexities and integration progress effectively to both technical and non-technical stakeholders, including senior leadership. Develop training materials and conduct demos for internal teams on AI integration tools, processes, and best practices. Minimum Qualifications Bachelor's or Master's degree in computer science, Data Science, Artificial Intelligence, Electrical Engineering, or a related quantitative field. 12+ years of experience in a technical field with 5 years of experience in software engineering, data engineering, or MLOps, with a strong focus on deploying and integrating AI/ML models. Experience working with large datasets, distributed computing, and cloud platforms (e.g., Azure, AWS, GCP). Other Job Specific Skills Strong proficiency in Python is essential; experience with Java, Scala, or Go is a plus. Experience with MLOps platforms and tools. Solid understanding of databases (SQL, NoSQL), data warehousing concepts, and data streaming technologies. Experience with cloud-native services for compute, storage, and AI/ML (e.g., Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform). Experience designing and implementing RESTful APIs for AI services. Strong understanding of software development best practices, including version control (Git), testing, and code review. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills, with the ability to bridge technical and business gaps. Preferred Skills Experience working within a government agency or highly regulated industry. Familiarity with specific DOE-relevant domains (e.g., energy systems, national security, scientific computing). Experience with real-time AI inference and low-latency systems. Certifications in cloud computing (e.g., Azure AI Engineer, AWS Machine Learning Specialty).

KAYGEN is an emerging leader in providing top talent for technology based staffing services. We specialize in providing high-volume contingent staffing, direct hire staffing and project based solutions to companies worldwide ranging from startups to Fortune 500 and Managed Service Providers (MSP) across a wide variety of industries Description: Basic Details: Title: Solution/Application Architect Location: Plano, TX Remote/On-site/Hybrid: On-Site from day 1 Local or non-local: Local candidate Backfill/New Headcount: Backfill requisition Working hours: Standard (8/9 am to 5/6 pm CST) Duration: 12 months with the possibility of extension Overtime: As per business need Travel: No Experience level: Mentioned in the below job responsibilities Headcount: 1 Interview Process: 2 rounds Interview 1: Video Interview via MS Teams for 15 to 30 minutes (Our Client hiring panel) Interview 2: In-person interview for 60 minutes (Our Client hiring panel) Requirements: Job Description: Who we are: Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Our Client. As one of the world s most admired brands, Our Client is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We re looking for diverse, talented team members who want to Dream. Do. Grow. with us. What we re looking for: 10 years' experience in Information Technology, 5-8+ years in an Architecture environment Should have achieved mastery in one of the application languages such as Java, Golang, Python by developing a Service-oriented or microservices architecture (primarily Kubernetes) and distributed application design principles for creating proof of concepts. Good understanding of application code development, system integrations, SecDevOps practices in a cloud environment primarily AWS with awareness about site reliability engineering principles, coupled with a willingness to learn and expand the knowledge. Experienced in a distributed system representation using UML or C4 to ensure that a standard system depiction across the architecture team. What you ll be doing: Contribute to an overall Enterprise Architecture strategic plan. Establish, develop, and promote standard architecture, frameworks, and guidelines. Analyze complex business and technical problems related to the implementation of new technology and/or the customization of existing technologies. Partner with other technology teams to work with business executives and end users to conceptualize new application projects, recommend technologies and implementation strategies then architect/design for requirements of the project within financial and timeline. Author and/or Review architecture/design and other technical documents ensuring high quality deliverables and systems development across tech stacks and applications teams. Review code and technical approaches for problem solving to ensure functional and non- functional requirements are met in an effective and high-quality manner. Provide guidance and mentor technical teams across multiple architecture styles and technologies to ensure high quality design/implementation, re-use of enterprise/common patterns, improve code quality and testability/maintainability by ensuring standard design practices and removing duplication of effort. Help ensure high quality software delivery by providing guidance on testing strategy, providing technical consultation to plan/design performance testing and profiling of application, and providing feedback/guidance for tuning performance and other non-functional elements. Define and communicate complex technical and operational solutions and translate complex topics into simple business language to drive the value alignment. Preparing technical solution and architecture documents, artifacts, work products and presentations. Enforce standards, frameworks, and architecture principles and governance to keep the overall architecture evolving toward the target state. Create level 1 architecture diagrams to define vehicle to cloud, channel to cloud and system architecture for the connected vehicle program. Work with the cyber security and the web security team to ensure compliance to the technical solution being implemented. Perform as an individual contributor and colleague who enjoys collaborating with, learning from, and mentoring program team members on security disciplines to bolster overall security posture to lower the business risk profile. Qualifications/ What you bring (Must Haves) Highlight Top 3-5 skills Perform as an accountable resource and take ownership of assigned projects and tasks for delivery with quality and in a timely manner using Agile/JIRA best practices. Partner with application teams as a trusted advisor to ensure compliance and adoption of organizational and regulatory standards, processes, and industry best-practices for developing and deploying microservices in public cloud environments. Guide the technical leads to create the component and process flow diagrams and assist the application support team for performance, scalability, reliability, and capacity planning. Added bonus if you have (Preferred): Good knowledge of authentication/authorization standards, protocols, and frameworks such as OpenID, SAML, OAuth, JWT, CA, X.509, MTLS, etc. with a conceptual knowledge of IT Architectural frameworks like TOGAF with good understanding of service mesh and TechRadar practices Maintain application-level roadmaps, short term, and long-term strategic plans to align with the forward-looking deliverables and architecture guardrails around development and release management process. Understand the changing business needs of the organization/projects and recommend viable strategies for the future. Exposure to mobile technologies, OCPP protocol and Machine Learning Modeling At KAYGEN, we are always looking for dynamic, talented and experienced individuals. We invite you to join our team of talented IT professionals, consulting at client locations across the globe. Our culture is team-orientated; we strive to stand by our core values of respect, honesty and integrity. Our team of experienced staffing experts will work with you to find you the best opportunity. For more information please visit us at . Benefits with Kaygen -Healthcare Insurance -Vision and Dental Insurance -401(k) Retirement Plan -Free Life Insurance -Vacation Time Off -Sick Time Off -Family Medical Leave (FMLA) Achieve your Kaizen by clicking here. A unique and exclusive talent community supported by Kaygen, that includes programs like: Certifications Mentorship Program Referrals Family and Wellness benefits Continuous Growth and Career Development

Job Title: Senior Salesforce Developer Location: Iselin, NJ Charlotte, NC Frisco, TX Work Arrangement: Hybrid - Minimum 3 days per week in office Position Overview Seeking a highly skilled Senior Salesforce Developer with strong expertise in AI and agentic technologies. Hybrid role requiring a minimum of three days per week onsite at one of the listed locations. Ideal candidate will have extensive experience in Salesforce development, customization, and integration. Advanced capabilities in AI-driven solutions and autonomous agent frameworks within the Salesforce ecosystem. Key Responsibilities Salesforce Development Design, develop, and implement Salesforce applications using Apex, Visualforce, Lightning Components, and other Salesforce technologies. Customize Salesforce applications to enhance system functionality and improve user experience. Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications. Integrate Salesforce with third-party platforms using REST/SOAP APIs and related tools. Perform code reviews and ensure adherence to established coding standards and best practices. Troubleshoot, debug, and resolve technical issues related to Salesforce applications. Maintain, optimize, and enhance existing Salesforce configurations, workflows, and processes. AI & Agentic Implementation Implement AI-powered features within Salesforce, including Einstein AI, Einstein GPT, predictive analytics, and machine learning models. Leverage agentic frameworks to create self-directed systems capable of reasoning, planning, and automating complex business processes. Apply prompt engineering strategies and retrieval-augmented generation (RAG) techniques to enhance the performance of AI-driven functionality. Collaboration & Documentation Work closely with the Design and Engineering teams to support end-to-end solution delivery. Provide mentorship and technical guidance to junior developers and team members. Document technical designs, workflows, and processes to support ongoing development and maintenance. Qualifications Required Bachelor's degree in Computer Science, Information Technology, or a related field. 5 years of experience in Salesforce development, including Apex, Visualforce, and Lightning. Salesforce certifications (e.g., Platform Developer I/II) are highly preferred. Strong understanding of Salesforce architecture, data modeling, and security. Experience with Salesforce integration tools (e.g., MuleSoft, ETL tools). Proficiency in SQL, SOQL, and data management best practices. Excellent analytical, problem-solving, and debugging skills. Strong communication skills with the ability to collaborate effectively across teams. Preferred Skills Experience with Salesforce DevOps tools and methodologies. Knowledge of Agile/Scrum development practices. Familiarity with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. Experience with Salesforce Einstein Analytics / Tableau CRM. Proficiency in Python or other AI-related programming languages. Understanding of multi-agent systems and agent orchestration platforms. Experience with prompt engineering and fine-tuning LLMs for enterprise use.

Title :Senior Salesforce Developer Location : Iselin NJ, Charlotte NC, Frisco TX Shift : Hybrid Minimum 3 days per week in office Job Description : We are seeking a highly skilled Senior Salesforce Developer with expertise in AI and agentic technologies to join our dynamic team. The ideal candidate will possess extensive experience in Salesforce development, customization, and integration, along with advanced capabilities in implementing AI-powered solutions and autonomous agent frameworks within the Salesforce ecosystem. Key Responsibilities: Design, develop, and implement Salesforce applications using Apex, Visualforce, Lightning Components, and other Salesforce technologies. Customize Salesforce applications to enhance functionality and improve user experience. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Integrate Salesforce with third-party applications and services using REST/SOAP APIs. Perform code reviews and ensure adherence to coding standards and best practices. Troubleshoot and resolve technical issues related to Salesforce applications. Maintain and optimize existing Salesforce configurations and workflows. Implement and integrate AI-powered features within Salesforce, including Einstein AI, Einstein GPT, predictive analytics, and machine learning models. Leverage agentic frameworks to create self-directed systems capable of reasoning, planning, and executing complex business processes. Implement prompt engineering strategies and retrieval-augmented generation (RAG) techniques to enhance AI capabilities. Provide mentorship and guidance to junior developers and team members. Document technical designs, processes, and workflows for future reference. Assessing the technical viability of emerging products and technologies. Working with developers and infrastructure specialists to test and evaluate new technologies. Participating in the development of business cases and obtaining approvals for capital expenditures. Monitoring and analyzing new technology product performance and resolving issues regarding potential improvements or modifications to complex situations, as needed. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in Salesforce development, including Apex, Visualforce, and Lightning. Salesforce Developer certification (e.g., Salesforce Certified Platform Developer I/II) is highly preferred. Strong understanding of Salesforce architecture, data modeling, and security. Experience with Salesforce integration tools and techniques (e.g., MuleSoft, ETL tools). Proficient in database technologies (e.g., SQL, SOQL) and data management best practices. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Preferred Skills: Familiarity with Financial Services Cloud (FSC) a plus Experience with Salesforce DevOps tools and methodologies. Knowledge of Agile/Scrum methodologies. Familiarity with front-end technologies (HTML, CSS, JavaScript) and frameworks (e.g., React, Angular). Experience with Salesforce Einstein Analytics/Tableau CRM. Proficiency in Python or other programming languages commonly used in AI development. Understanding of multi-agent systems and agent orchestration platforms. Experience with prompt engineering and fine-tuning LLMs for enterprise applications.

Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company's strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member Lead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans. Drive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise. Design and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs. Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency. Ensure the security, scalability, and architectural integrity of feature designs through reviews across teams. Deliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools. Recommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits Growth: Foster long-term growth through data-driven causality and incrementality Gen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions Lifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: PhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering 8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure Hands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements Passion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering Experience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions Strong problem-solving skills with bias for action Preferred Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations Experience in model interpretability and responsible AI practices. Expertise in data science, advanced experimentation and visualization techniques. Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray) Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints Experience with Databricks MLflow for ML lifecycle management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies Target Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent . click apply for full job details

Position Title: Chief Technology Officer - CTO Department: Information Systems Job Description: General Description: The Chief Technology Officer (CTO) will be a seasoned leader and advisor, with proven experience in building game changing next generation business models in the rapidly growing and evolving hospital provider space. This position will be responsible for collaborating very closely with business, outside thought leaders, and commercial partners to turn strategy into disruptive and transformational digital platforms. The transformational focus will be both highly visible and highly impactful on the patients we serve. The CTO will be in charge of all organizational technology and technological resources. The incumbent will be responsible for establishing the organization's technology strategy, leading enterprise system engineering and technical teams, and ensuring that the Information Technology Function is effectively using its technical resources, both in house and any that have been contracted. This position will align technology vision with business strategy by integrating company processes with the appropriate technologies and is also responsible for all aspects of developing and implementing technology initiatives within the organization. This individual maintains existing enterprise systems, while providing direction in all technology-related issues in support of information operations. Additionally, the CTO will be responsible and accountable for communicating with other executives and stakeholders, performing research on new technologies that could enhance the corporation's business, and monitoring the use and implementation of new and existing technologies across departments. Essential Responsibilities: Responsibilities listed in this section are core to the position. Inability to perform these responsibilities, with or without an accommodation, may result in disqualification from the position. Drives technology strategy by owning and driving evolution of key strategic technologies and technical architecture. Builds Strategic partnerships with key stakeholders to better understand organizational goals and objectives to be applied when evaluating technical architecture and fit within the organization's environment. Understands outsourcing and management of an outsourced infrastructure function. Holds outsourced services providers accountable to service levels and performance standards consistent with a 24/7 Healthcare provider setting. Has experience with design and product management models. Collaborates with the Data Analytics team to develop strategies on data acquisition, agreements, warehousing, analytics, machine learning, and Artificial Intelligence (AI). Makes Digital capabilities an integral part of the technology strategy by bringing digital fluency into business models. Conducts research to remain up-to-date and knowledgeable in regards to industry trends and emerging technologies in anticipation of new business processes and system alterations. Demonstrates a high tolerance for bold initiatives, such as starting new businesses, acquiring new, leading edge technologies, and investing in innovations. Directs development and execution of an enterprise-wide disaster recovery and business continuity plan. Improves customer experience by implementing a customer service delivery program designed to put the customer first and hear the voice of the customer. Discovers, incubates, and scales new, disruptive business models to advance the strategic mission of the organization. Oversees innovation and develops patenting of intellectual property, inventions, and business processes, when necessary. Partners with various business stakeholders to collaborate with academic and external forums to identify opportunities for IT technology to enable business growth and missions. Develops strategies and plans for integrating multiple partners with the vision of the business. Brings new business concepts to life quickly using modern methods, such as technical proof of concepts. Builds a strong network of people, technologies, and ideas inside and far outside of the company, such as connections with startup community, scans for potential partnerships, acquisitions, or complimentary capabilities, to reinvigorate the IT function. Leads the design of technical architectures and solutions, working with business partners in support of the Healthcare provider patient care delivery mission. Creates and presents reports on the organization's technology status, goals, and or progress. Aligns the company's technology resources with the organization's short and long-term goals. Defines and communicates corporate procedures, policies, and standards for the organization for acquiring, implementing, and operating new network systems, equipment, software, and other technologies Identifies technologies that can be used to improve the company's patient care delivery products and services. Produces and oversees high level Key Performance Indicators (KPIs) for their area within IT and in certain instances, for the IT department in its entirety. Manages within their budget. General Responsibilities: Performs other duties as assigned. Minimum Qualifications: Education: Master's Degree required. Degree in a relevant field (Computer Science, Business) preferred. Experience: 7 to 10 years progressive leadership experience required. 6 or more years of Digital Transformation and business model innovation experience required. Previous healthcare experience preferred. License(s)/Certification(s)/Registration(s) Required: None. Knowledge, Skills and Abilities: Possesses strong knowledge in healthcare technology in hospital & specialty provider space preferred. Understanding of specialty drug processes, prior authorization, benefit verification, mediation adherence, revenue cycle management, clinical operations, etc Experience with Electronic Health Record (EHR) systems, including installations, ancillary systems, and medical informatics. Strong background in Hospital / Healthcare provider environments preferred. Brings an Entrepreneurial / Intrapreneurial attitude. Background in identifying, selecting, and implementing emerging and new technologies. Healthcare information technology preferred. Understands Software and data engineering practices, concepts, and theories. Exhibits strong interpersonal skills, demonstrating the ability to navigate the political landscape of the organization. Demonstrates executive presence, broad thinking and is articulate across all levels of the enterprise. Experience in recognizing the impact of technical / digital approaches can have on strategic business decisions. Demonstrated understanding of business constraints and an ability to independently develop and convey highly complex strategic concepts in a concise and consumable manner for various audiences. Capacity to deliver on deadlines while contributing to various stakeholders, projects and business relationships at once. Ability to work independently or as part of a team and thrive in ambiguity, remain cool-headed with curve balls, and withstand the tests of a dynamic environment with resilience and resolve. Exceptional emotional intelligence to help manage complex relationships partners, stakeholders, design, engineering and leadership. Conversant in user experience research and design activities. Excellent verbal & written communications skills. Current OU Health Employees - Please click HERE to login. OU Health is an equal opportunity employer. We offer a comprehensive benefits package, including PTO, 401(k), medical and dental plans, and many more. We know that a total benefits and compensation package, designed to meet your specific needs both inside and outside of the work environment, create peace of mind for you and your family.

About Arcticom, LLC Offering a broad range of information technology solutions, Arcticom, LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. Arcticom offers impressive performance that is routinely recognized with exceptional ratings and commendations tied to installation successes. Satisfied Bering Straits Native Corporation (BSNC) family customers include the U.S. Air Force, Army, Navy, Coast Guard, the Departments of State, Justice, Commerce, Agriculture, Interior, Homeland Security, the General Services Administration, the Defense Logistics Agency and the U.S Census Bureau. About this position: Software Engineer Journeyman Location: Dayton, OH The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Wage/Salary Range: 95,000 - 132,000 Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Comfortable working with a distributed remote team and collaborating primarily online. Conduct code reviews and suggest necessary improvements in existing processes and applications. Report on status of systems and projects on a regular and timely basis. Resolve difficult design and build issues and troubleshoot bugs, working closely with the test team and requirements managers to ensure successful implementations. Reviews processes and procedures for software quality and data accuracy. Develop, maintain, and support a complex code base for our DoD customer efforts. Design, implement, and maintain software solutions leveraging MIP optimization models, AI, and ML techniques Develop and optimize mathematical models for scheduling, routing, allocation, forecasting, or decision-making problems Build and deploy ML models (supervised, unsupervised, and/or reinforcement learning) for real-world applications Integrate optimization and ML models into production systems and APIs Collaborate with product managers, analysts, domain experts, and other developers to translate requirements into technical solutions Improve model performance, scalability, and robustness through experimentation and tuning Write clean, well-documented, and testable code following best engineering practices Monitor, evaluate, and maintain models in production environments Stay current with emerging tools, frameworks, and research in optimization, AI, and ML Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's or Master's degree in computer science, Engineering, Operations Research, Mathematics, or a related field Strong proficiency in Python, Java, or C++ Level of Experience Requirements: 4-7 years Software Development / Engineering experience. Must have or be able to obtain CompTIA Security+ certification within the first 60 days of employment Must have or be able to obtain a National Agency Check with Inquiries and/or National Security Clearance; requires US Citizenship Knowledge, Skills, Abilities, and Other Characteristics Experience with Software Development Life Cycle (SDLC) Hands-on experience with Mixed Integer Programming (MIP) and optimization solvers (e.g., Gurobi, CPLEX, OR-Tools) Familiar with secure coding standards and processes, including OWASP, code scans, and other processes. Solid understanding of machine learning algorithms and model evaluation techniques Experience in developing and maintaining applications built on Java, Oracle, and/or other related platforms. Experience in container-based computing technologies, including Docker or Kubernetes, and the management of containers in various environments. Experience deploying ML and optimization models in cloud environments (AWS, Azure, GCP) Experience in writing and maintaining complex SQL queries, data structures, and other database-related functions. Preferred • N/A Supervisory Responsibilities • This position will not have supervisory responsibilities. You may delete this line if it does not apply to the job. DOT Covered/Safety-Sensitive Role Requirements • This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work described herein is primarily a modern office setting. Occasional travel may be required. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Principal Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Data Scientist, AI Foundations Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state of the art scalable architecture, AI/ML solutions for Capital One's award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One's digital assistant Eno, or search for useful contents. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging generative AI technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partnering with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes. You have experience in delivering libraries, platforms, or solution level code to existing products. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics), or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS At least 2 years' experience in Python, Scala, or R At least 2 years' experience with machine learning At least 2 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science San Jose, CA: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).