AI ML Engineer
Core
Design and deploy classical machine learning models and build production GenAI applications (LLMs, RAG) for pharmaceutical and life sciences data.
Role type
Machine Learning Engineer (Classical ML + Generative AI)
Builds
GenAI applications, LLM-based tools, RAG systems, document intelligence pipelines
Domain
Pharmaceuticals / Life Sciences
Deliverable
production ML models
Required skills
Python, classical ML (regression, tree-based, ensemble), LLM tooling, prompt engineering, RAG architectures, pharma/healthcare data handling, cloud platforms, MLOps
Preferred skills
Domain expertise in clinical, regulatory, or scientific datasets
Responsibilities
Design and deploy ML models, build and productionize GenAI applications, work with structured and unstructured pharma data, adapt and evaluate LLMs for domain-specific use cases, collaborate with domain experts, own the ML lifecycle from data preparation to deployment and monitoring
Seniority
Mid-level (3–6 years experience)
