AI or ML Engineer - Remote

Primary Responsibilities: • Build enterprise ML and GenAI platforms supporting experimentation, model training, evaluation, deployment, monitoring, and lifecycle management • Productionize machine learning and generative AI models using batch and real-time inference architectures • Build and operate MLOps and LLMOps pipelines including CI/CT/CD workflows for model testing, validation, versioning, and promotion across environments • Develop scalable, cloud-native ML infrastructure using Docker, Kubernetes, and cloud ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI • Build and manage LLM application stacks, including LLM gateways, orchestration layers, model routing, caching, and cost/performance optimization • Implement model monitoring and lifecycle management systems to track drift, latency, bias, and data quality while enabling automated retraining • Ensure governance, security, and compliance of ML systems including lineage, auditability, reproducibility, and observability • Partner with data scientists, data engineers, and software engineers to define production ML standards and scalable AI solutions 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: • 5+ years of experience in machine learning engineering, MLOps, or AI platform engineering building production ML systems and scalable model pipelines • 4+ years of experience programming in Python for ML systems with familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn • 3+ years of experience working with ML lifecycle platforms such as MLflow, Kubeflow, SageMaker, Azure ML, or GCP Vertex AI • 3+ years of experience building cloud-native ML platforms using Docker, Kubernetes, and distributed systems • 3+ years of experience working with distributed data processing and orchestration tools such as Spark, Ray, Airflow, Dagster, or Prefect • 3+ years of experience with Generative AI and LLMs, including prompt engineering, prompt chaining, and fine-tuning (instruction tuning and LoRA/qLoRA) Preferred Qualifications: • Master's degree in Computer Science, Engineering, Data Science, or related discipline • Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) • Experience working in regulated or enterprise environments, with emphasis on security, compliance, and responsible AI • Experience with vibe coding tools, such as Cursor, Claude Code, and Replit • Experience operating multi-cloud or hybrid ML platforms • Experience in Healthcare or Life Sciences • Knowledge of LLM cost optimization and performance tuning techniques • Exposure to knowledge graphs or hybrid search • Contributions to open-source ML or MLOps tooling *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 $98,547 to $175,978 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.