Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Philips

Compare

3.9

based on 1.5k Reviews

44 Philips Jobs

Data Scientist - Generative AI

Philips India Limited

3.9

based on 1.5k Reviews

3-8 years

₹ 17 - 15.3L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Scientist - Generative AI

Philips

posted 12hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Healthcare Machine Learning Computer Vision Natural Language Processing

+ 2 more

Job Description

We are seeking a highly skilled Data Scientist with Generative AI expertise to join our team. In this role, you will develop, fine-tune, and optimize generative AI models to drive innovation across various applications, including text, image, audio, and video generation. You will collaborate with cross-functional teams, including machine learning engineers, software developers, and product managers, to create cutting-edge AI solutions.

Your role:

Develop and Optimize Generative AI Models - Design, train, and fine-tune models such as GPT, Stable Diffusion, StyleGAN, and LLaMA for real-world applications.
Data Preparation & Engineering - Gather, clean, and preprocess large-scale datasets for training and evaluation of generative models.
Experimentation & Model Evaluation - Conduct A/B testing and assess model performance using quantitative metrics (eg, FID, BLEU, perplexity, ROUGE etc).
Research & Innovation - Stay updated with the latest advancements in generative AI, deep learning, and large language models (LLMs).
Deployment & Scaling - Work with ML engineers to deploy models into production environments using cloud platforms (AWS, Azure) and frameworks like TensorFlow, PyTorch, and Hugging Face.
Collaboration & Communication - Work closely with cross-functional teams to integrate AI solutions into business processes and applications.
Proficient in Python
Understanding of the Pytorch and TensorFlow frameworks
Strong foundation of NLP concepts, techniques and text processing tools such as NLTK, Gensim etc
Proficient with LLM models from HuggingFace for different text processing tasks
Proficient with data handling capabilities and querying from SQL/No-SQL databases
Hands-on experience working on the vision problems that can be solved using generative AI models
Deep expertise with AI development platform such as AWS-bedrock and AI Azure studio
Experience building or finetuning AI models, productize and deploying in production
Experience with prompt engineering techniques and leverage best practices with LLM technology

Youre the right fit if:

bachelors or masters degree in computer science, AI, Data Science, Machine Learning, or a related field.
3+ years of experience in machine learning, deep learning, or AI research, with at least 1 year of hands-on experience in generative AI.
Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or JAX.
Experience working with LLMs, diffusion models, GANs, VAEs, or transformers.
Knowledge of natural language processing (NLP), computer vision, or multimodal AI applications.
Familiarity with prompt engineering, fine-tuning, and RLHF (Reinforcement Learning from Human Feedback).
Experience in cloud-based AI solutions and working with APIs (eg, OpenAI, Hugging Face, Stability AI).
Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
Experience with vector databases (eg, FAISS, Pinecone) and retrieval-augmented generation (RAG).
Hands-on experience with MLOps tools (eg, MLflow, Kubeflow, Docker, Kubernetes).
Understanding of ethical AI and bias mitigation in generative models.
Strong publication record or contributions to open-source AI projects.

Employment Type: Full Time, Permanent

Read full job description

Philips Interview Questions & Tips

Prepare for Philips Data Scientist roles with real interview advice

What people at Philips are saying

3.5

Rating based on 11 Data Scientist reviews

Anonymous · Data Science & Analytics in Bangalore / Bengaluru

Likes

It was a good company earlier not now

Dislikes

Philips is not doing well after the loss and billion dollar suite. Join on your own risk. Initial pay is good and no hikes there after. Now a new lawsuit in UK also . Don't know wat happens now . Some senior architects expect us to get results which they know although there are may different approaches.