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. OptumCare 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. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Lead AI ML Engineer
Location
United States
Posted
17 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- 10+ years in Observability & Monitoring
- 5+ years in Programming & Packaging
- 5+ years in ML / DL Frameworks
- 5+ years in GenAI & Agents
- 5+ years in Pipelines & Orchestration
- 5+ years in Model Registry, Experiment Tracking & A/B
- 5+ years in Serving & Inference
- 5+ years in MLOps / DevOps
- 5+ years in Security
- 3+ years in Cloud Platforms
- 2+ years in Responsible AI & Compliance
- SLOs for latency/cost/error; drift/skew detection; tracing/telemetry (OpenTelemetry style); alerting (eg, Prometheus/Grafana equivalents)
- Python (typing, pytest, packaging), SQL; shell for automation
- scikit learn, XGBoost; PyTorch or TensorFlow/Keras for deep learning
- LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration; model hubs (eg, Model Garden / Hugging Face)
- Kubeflow or Vertex AI Pipelines; Apache Airflow/Composer
- Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout
- Batch/online endpoints, autoscaling; versioning and rollback strategies
- CI/CD (GitHub Actions or equivalent); IaC; secrets/certs; containerization (Docker) and orchestration (Kubernetes)
- Access controls, key management, secrets hygiene; secure data paths end to end
- Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services
- Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- 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.
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