Role Description As an ML Ops Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production. Key Responsibilities - Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code. - Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring. - Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake. - Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services. - Automate environment provisioning, configuration, and dependency management across dev, test, and production. - Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA). - Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services. - Contribute to best practices, standards, and documentation for ML platform and operations across the organization. Qualifications - 8+ years of experience in software engineering, data engineering, or ML engineering with at least 4+ years focused on MLOps or ML platform work. - Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows. - Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue. - Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake. - Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK). - Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus. - Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability. - Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7). Education - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Mathematics, or Information Technology. Benefits - Competitive salary and benefits package. - Performance-based incentives may be available. - Health insurance, life insurance, company-paid disability, 401k. - 18+ days of paid time off. Base Compensation Range $151,800 — $202,000 USD Equal Opportunity Statement Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.

• Analyze single-cell and multiomics datasets to extract biological insights supporting precision medicine and drug development programs • Apply and evaluate machine learning and deep learning approaches to single-cell data for tasks such as cell type classification, biomarker discovery, and patient stratification • Explore and prototype generative AI and LLM-based approaches to accelerate biological data interpretation and scientific workflows • Collaborate with scientists, clinicians, and data scientists to design and execute data-driven research projects • Document and optimize computational workflows following reproducible research best practices • Present findings through technical reports, visualizations, and presentations to cross-functional teams

• With your technical expertise you will accompany the entire development process: from requirements gathering through architecture and implementation to production operation. • In interdisciplinary teams with clients, colleagues and partners you will develop well-founded and sustainable solution approaches. • Regular training and expanding your own skills, including beyond your core area, are part of your daily work. • You will design and implement scalable Data-Lakehouse solutions (e.g. on Databricks) in close collaboration with business and IT stakeholders. • You select appropriate approaches: from classical Machine/Deep Learning to Large Language Models (LLMs) and agent systems, and integrate models into existing data and application landscapes. • You plan and implement data platforms and AI workloads in private and, where applicable, hybrid cloud environments, taking data privacy, compliance and regulatory requirements into account.

Requisition Number: 2341652 Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Lead AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques - Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs - Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards - Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities - Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions - Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges - Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices - Accountable for high-quality software deliverables and operational excellence - Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices - Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives - Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Undergraduate degree or equivalent experience - 6+ years of software engineering experience - 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models - 5+ years of experience with Web and API development - 5+ years of experience hosting applications in cloud environments (AWS preferred) - Solid experience with Chatbots, conversational AI, and NLP-based solutions - Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations Preferred Qualifications: - BS in Computer Science, Engineering, or related technical field (or equivalent experience) - Experience in the healthcare industry - Full-stack engineering experience *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.