Senior Principal- AI / ML Engineer, Market Access Intelligence, LVA, Lilly USA Tech
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 pharma brand and Bangalore metro raise applicant density, while specialized GenAI skills narrow qualified pool.
Role demands deep ML/LLM expertise and healthcare market-access domain knowledge, limiting cross-industry transferability.
Explicit 6+ years, mandatory GenAI/ML technologies, PyTorch, MLOps, and governance requirements make shortlisting strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and deploy production-grade AI/ML and generative AI systems impacting market access, payer coverage, and real-world evidence workflows.
Own full AI/ML lifecycle including model training, fine-tuning, deployment, monitoring, and continuous improvement for complex datasets.
Collaborate with stakeholders to translate business needs into scalable AI services, ensuring governance, security, and responsible AI principles are met.
Minimum Requirements
6+ years experience building and deploying production machine learning or AI solutions.
3+ years experience specifically with generative AI: LLMs, retrieval-augmented generation, embeddings, prompt engineering, and agentic workflows.
Proficiency in Python, SQL; hands-on with PyTorch; experience with cloud AI platforms (AWS, Azure, GCP).
Work Experience Required: 6+ years in ML/AI engineering (explicitly mentioned). Other hard requirements include experience in MLOps/LLMOps and strong software engineering fundamentals.
Ideal Candidate Profile
Senior individual contributor who is hands-on with cutting-edge GenAI engineering, comfortable with complex AI architectures like multi-agent workflows and retrieval-augmented generation.
Experience working in regulated domains such as pharma, healthcare analytics, or market access is preferred for domain fit.
Ability to architect scalable AI solutions and communicate complex technical trade-offs to cross-functional teams for business impact.