Staff AI/ML Engineer, Applied AI

About the role

As a Staff AI/ML Engineer, Applied AI, you will provide hands-on technical leadership across the design, development, evaluation, and production deployment of advanced AI/ML solutions. You will architect and build machine learning and deep learning models, Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) solutions, and agentic workflows that drive business insights, enhance scientific workflows, and improve customer experiences.

What you'll do

• Lead activities across the AI/ML lifecycle – from ideation, research, data engineering, model development and optimization, evaluation
• Iteratively develop, deploy and scale AI/ML models and solutions across life sciences, genomics, material sciences, and healthcare
• Provide technical leadership for AI/ML models, platforms, and solutions, including defining reference model and system architectures, software design standards
• Champion an evaluation-driven approach to AI/ML solution development, establishing rigorous evaluation practices and promoting their consistent adoption across the…
• Build and deploy LLM-powered services using Azure OpenAI, Anthropic Claude, and OpenAI-compatible APIs

What you need

• 10–18 yrs of experience
• Machine learning
• LLMs
• Python
• Pandas
• Deep learning
• Prompt engineering
• PhD or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Statistics
• MLOps
• AWS
• GCP
• Biology
• ETL