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Job Description
Structured overview of role & requirementsAbout This Role
Develop AI-driven solutions combining statistical modelling, machine learning, and generative AI to solve complex scientific and business problems.
Collaborate with scientists, engineers, and product teams to perform data analysis, feature engineering, model development, validation, and deployment on cloud platforms.
Design and build Agentic AI applications using LLMs, Retrieval-Augmented Generation, multi-agent workflows, and integrate AI/ML solutions with enterprise systems.
Minimum Requirements
Master's degree in Data Science, Artificial Intelligence, Chemical Engineering, Bioprocess Engineering, or related fields.
4+ years of experience in Data Science, Machine Learning, or Applied AI.
Strong proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn).
Location requirement: Bengaluru, India; On-site role.
Ideal Candidate Profile
Experience with Large Language Models (LLMs), prompt engineering, RAG, embeddings, and Agentic AI frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen.
Familiarity with cloud AI/ML services (AWS, Azure), MLOps, CI/CD, Docker, and model deployment processes.
Background or interest in bioprocessing or life sciences to align with domain challenges.