Associate Data Scientist

About the role

Philips is a health technology company seeking an Associate Data Scientist in Bangalore to design, build, and fine-tune Generative AI models (LLMs, vision-language, diffusion) for product use cases. Day-to-day work includes hands-on LLM and prompt engineering, RAG architectures, vector databases, embeddings, experiment tracking (MLflow, Weights & Biases), traditional ML/DL, working with structured and unstructured datasets, and collaborating with engineering to integrate AI models into production and embedded/edge environments. This is a full-time, on-site role requiring in-person presence at least 3 days per week.

What you’ll do

• Design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases.
• Apply hands-on expertise in Large Language Models and prompt engineering.
• Implement RAG architectures, vector databases, and embeddings.
• Use experiment tracking tools such as MLflow and Weights & Biases.
• Apply traditional ML/DL techniques.
• Work with structured and unstructured datasets including images and text.
• Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments.

What you’ll bring

• Bachelor's or Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science, or equivalent.
• Minimum 7 years of experience with a Bachelor's, or minimum 5 years with a Master's, in Data Analytics, Data Modeling, or equivalent.
• Hands-on expertise in Large Language Models and prompt engineering.
• Ability to design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases.
• Experience with RAG architectures, vector databases, and embeddings.
• Familiarity with experiment tracking tools such as MLflow and Weights & Biases.
• Knowledge of traditional ML/DL techniques.
• Ability to work with structured and unstructured datasets (images, text).

Nice to have

• Data Science
• Data Analysis & Interpretation
• Data Designing
• Python
• GenAI frameworks (LangChain, LangGraph)
• Vector Databases
• Machine Learning Engineering Fundamentals
• Statistical Methods

Skills

Education

Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent.