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Philips

Associate Data Scientist

Philips Bengaluru, Karnataka, India

Hospitals and Health Care · 10,001+ employees

Yesterday
data-scientist Senior (5-10 yrs) Full-time India
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About the role

Design, build, and fine-tune Generative AI models including LLMs and diffusion models for product use cases. Collaborate with engineering teams to integrate these AI models into production systems and edge environments.

What they look for

Generative AI Large Language Models Prompt Engineering RAG Architectures Vector Databases MLflow Weights & Biases Python LangChain LangGraph Machine Learning Deep Learning SQL Data Analytics Data Modeling Statistical Methods

Requirements

Requires a Bachelor's or Master's degree in a relevant technical field such as Computer Science or Data Science. Candidates must have at least 5 to 7 years of experience in data analytics, data modeling, or equivalent roles.

Full description

Job Title

Associate Data Scientist

Job Description

Job Responsibilities:

Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases Hands on expertise in Large Language Models and prompt engineering RAG architectures, vector databases, embeddings Experiment tracking tools (MLflow, Weights & Biases) Traditional ML/DL techniques  Work with structured and unstructured datasets (images, text) Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments

 

 

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

Minimum required Experience: Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent.

Preferred Skills:

  • Data Science
  • Data Analysis & Interpretation
  • Data Designing
  • Python
  • GenAI frameworks(LangChain, LangGraph)
  • Vector Databases
  • Machine Learning Engineering Fundamentals
  • Statistical Methods
  • Statistical Programming Software
  • Research & Analysis
  • Structured Query Language (SQL)
  • Regulatory Compliance

How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. Indicate if this role is an office/field/onsite role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

  • Learn more about our business.
  • Discover our rich and exciting history.
  • Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

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