Job Summary

As a Research AI Engineer you are responsible for developing AI-driven solutions that combine classical statistical modelling, machine learning and modern generative AI techniques to solve complex business and scientific challenges. Your work will enable smarter bioprocess control, predictive insights, and optimization strategies, accelerating the development of life-saving therapeutics.

This position reports to the Senior Research Manager and is part of the Central Technology Organization (CTO) RD department located in Bangalore and will be an in office role.

Responsibilities

- Work closely with scientists, engineers, and product teams to translate ideas into impactful solutions by applying statistical analysis, ML and AI techniques.
- Perform exploratory data analysis, feature engineering, model development, validation, and performance assessment, on structured and unstructured data.
- Design and develop Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), tool calling, and multi-agent workflows while applying strong analytical and data science principles to extract insights, build predictive models, and drive decision-making
- Build data pipelines, integrate with enterprise systems, databases, APIs, and deploy AI/ML solutions on cloud platforms such as AWS and Azure.




- Stay current with advances in ML / AI / Gen AI / Agentic AI areas, and contribute to reusable AI assets, best practices, and technical standards methodologies.

Qualifications

- Master's degree in Data Science, Artificial Intelligence, Chemical Engineering, Bioprocess Engineering or related fields
- 4+ years of experience in Data Science, Machine Learning, Applied AI
- Strong proficiency in Python and common data science libraries such as Pandas, NumPy, Scikit-learn, and related tools.
- Experience with Large Language Models (LLMs), prompt engineering, RAG, embeddings, and Agentic AI frameworks.
- Familiarity with LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen, or similar technologies.

Preferred Qualifications

- Bioprocessing or life sciences
- AWS or Azure AI/ML services, MLOps, CI/CD, Docker, model deployment, and monitoring

Key Skills

- Python
- Pandas
- NumPy
- Scikit-learn
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- LangChain
- Agentic AI
- AWS

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Research AI Engineer (Bengaluru)
🏢 DHR Holding India
📍 Bengaluru