Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting

What you’ll work on

Design, build and fine-tune generative AI models (LLMs, vision-language, diffusion)
Build RAG architectures using vector databases and embeddings
Work with structured and unstructured datasets such as images and text
Integrate AI models into production and embedded/edge systems with engineering teams

From the employer’s posting

design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases

RAG architectures, vector databases, embeddings

Work with structured and unstructured datasets (images, text)

Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments

What you’ll bring

All qualifications

Core experience

7+ years experience with a bachelor's, or 5+ years with a master's
Bachelor's or Master's in data science, computer science, analytics or related field
Hands-on expertise in large language models and prompt engineering
Traditional ML and deep learning techniques
Experiment tracking tools such as MLflow or Weights & Biases

Qualification wording

Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's

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

Hands on expertise in Large Language Models and prompt engineering

Traditional ML/DL techniques

Experiment tracking tools (MLflow, Weights & Biases)

Education & alternatives

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.

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:

Tools in this posting

Python
SQL
MLflow

Source

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.

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.

Posting record

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Status in our records: Live
First seen by us: Jul 1, 2026 · 109d ago
Recorded sightings: 32
Last seen by us: Oct 17, 2026

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Job description

View original posting ↗

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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Location & working pattern

Bangalore

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Open source at philips.wd3.myworkdayjobs.com ↗Read the full description ↓

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