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.

Company: Optum

Role: Associate AI/ML Engineer

Location: Bengaluru, Karnataka, India

Experience:

3+ years of total software engineering experience
2+ years hands on in AI/ML (e.g., NLP, GenAI, predictive modeling, or recommendations)
Experience building and integrating model backed APIs/services (Python/Node/Java) into production systems

Qualification:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)

Role Focus: • Design and build AI-powered features using NLP/LLMs and classical ML for provider chat and voice workflows • Deliver end to end: data preparation, modeling/experimentation, evaluation, API integration, deployment, and monitoring in cloud environments • Implement responsible AI guardrails (content safety, PHI/PII controls, prompt hygiene, evaluation suites) and collaborate with governance/review partners • Develop and maintain web services and APIs that expose ML capabilities; write clear documentation and runbooks • Apply MLOps practices (CI for ML, model registry, reproducible experiments) and contribute to on call/operational support with mentorship • Collaborate with product, architecture, security, data, and platform teams to align with enterprise standards and deliver measurable outcomes • Continuously improve code quality, test coverage, latency, reliability, and cost per inference

Additional responsibilities:

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives
Analyzes and investigates
Provides explanations and interpretations within area of expertise

Nice to have:

Exposure to healthcare data/processes (e.g., claims, appeals, prior authorization, provider operations) or other regulated industries
Experience with conversational AI (intent/entity models, retrieval augmented generation, grounding) and vector databases
Familiarity with MLOps toolchains (feature stores, pipelines, model registry) and evaluation frameworks (toxicity, hallucination, bias, drift)
Full stack curiosity (UI integrations, design systems) and a habit of sharing learnings via demos, office hours, or internal wikis

More skills:

NLP/LLMs, classical ML, PyTorch/TensorFlow, CI for ML, model registry, reproducible experiments, cloud environments

Other:

Overtime status: Exempt
Travel: No
Comprehensive benefits and career development opportunities

Associate AI/ML Engineer

Skills Required

Description