Senior AI/ML Engineer
Optum (UnitedHealth Group) · Healthcare & Pharma
- Bangalore, Karnataka, India
- Hybrid
- Posted today
- Data & AI
About the job
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibility:
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Bachelor's degree in Computer Science, Mathematics, Engineering, Operations Research, Applied Mathematics, or related field
10+ years of experience in applied AI/ML or optimization-focused roles, with solid ownership of enterprise-scale AI and optimization initiatives
Proven experience translating business challenges into effective optimization and AI/ML solution strategies and production-ready solution architectures
Hands-on experience with optimization frameworks, including Pyomo, OR-Tools, Gurobi, and/or CPLEX
Hands-on experience with ML/DL frameworks: PyTorch and/or TensorFlow
Experience with combinatorial optimization and large-scale decision systems
Demonstrated experience with hybrid ML and optimization approaches
Solid foundation in:
Mathematical optimization, operations research, and statistics
Machine learning, deep learning, and experimental design
Demonstrated experience designing, developing, validating, and delivering successful optimization and AI proof-of-concepts that progressed into large-scale production environments
Familiarity with quantum computing concepts or quantum-inspired algorithms for optimization
Familiarity with MLOps practices including experiment tracking, benchmarking, model versioning, and deployment automation
Proven ability to translate theoretical models into impactful, real-world solutions
Proven ability to collaborate effectively with engineering organizations to enable successful production adoption of AI and optimization solutions
Proven ability to collaborate effectively across business, product, engineering, and leadership teams
Proven solid programming skills in Python (NumPy, pandas, scientific computing) and SQL
Proven solid analytical, problem-solving, communication, solution design, and stakeholder management skills
Preferred Qualifications:
MS/PhD
Experience with quantum frameworks such as Qiskit, Cirq, D-Wave, or Azure Quantum
Experience with reinforcement learning for decision optimization
Experience with simulation-based optimization and digital twins
Experience integrating optimization into production systems in collaboration with engineering teams
Experience building enterprise-scale Generative AI solutions integrated with optimization pipelines
Experience mentoring teams and driving AI capability development across organizations
Experience with Big data platforms (Databricks, Snowflake, BigQuery) and streaming (Kafka); lakehouse patterns
Experience with MLOps stack: MLflow, SageMaker, Azure ML, or Vertex AI; model monitoring, observability, automated retraining, and deployment automation
Experience with Publications or patents in optimization, ML, or quantum computing; contributions to internal frameworks, accelerators, or enterprise AI innovation initiatives
Healthcare domain expertise including claims, EHR/HL7/FHIR, care pathways, resource planning, ICD/CPT coding, risk adjustment, quality measures, and de-identification
Knowledge of Responsible AI in constrained decision-making systems
Knowledge of security and compliance frameworks (SOC 2, HITRUST, HIPAA)
Technical Skills:
Optimization - Mathematical Optimization, Linear/Non-linear Programming, Integer and Combinatorial Optimisation, Stochastic Optimization, Robust Optimization, Operations Research, Large-Scale Decision Systems
Optimization Frameworks - Pyomo, OR-Tools, Gurobi, CPLEX
Quantum and Quantum-Inspired - Quantum Optimisation, QAOA, Quantum Annealing, Hybrid Quantum-Classical Algorithms, Qiskit, Cirq, D-Wave, Azure Quantum
AI/ML and Analytics - Machine Learning, Deep Learning, Statistical Modelling, Predictive Analytics, Prescriptive Analytics, Experimental Design
Hybrid ML + Optimisation - Decision-Focused Learning, Reinforcement Learning, Constrained Optimisation, Simulation-Based Optimisation, Digital Twins
Generative and Agentic AI - Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, Retrieval Optimisation, Constrained Generation
AI Frameworks - PyTorch, TensorFlow
Programming and Data Engineering - Python (NumPy, pandas, SciPy), SQL, Feature Engineering, Data Pipelines, Model Evaluation, Experimentation Frameworks
MLOps and Model Lifecycle - MLOps, MLflow, Kubeflow, CI/CD, Model Monitoring, Observability, Drift Detection, Model Registry, Deployment Automation
Data Platforms - Databricks, Snowflake, BigQuery, Kafka, Lakehouse Architectures
Responsible AI and Governance - Responsible AI, Explainability, Fairness Constraints, AI Governance, Risk Management, SOC 2, HITRUST, HIPAA
Healthcare Analytics - Healthcare Analytics, Claims, Clinical Data, EHR/HL7/FHIR, ICD/CPT, Risk Adjustment, Population Health, Care Management
Research and Innovation - Operations Research, Quantum Computing, White Papers, Patents, Internal Frameworks, Innovation Leadership
Leadership and Strategy - Technical Leadership, AI Strategy, Optimisation Strategy, Innovation, Stakeholder Management, Mentoring, Cross-Functional Collaboration
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.