Your role:

• Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture

  
  

• Experience in CV based Deep Learning models like Unet, YOLO etc

  
  

• Experience with machine learning and deep learning frameworks, like PyTorch , Tensorflow, OpenCV

  
  

• Experience in Deep Learning frameworks like Pytorch, Tensorflow

  
  

• Excellent understanding of machine learning techniques and algorithms like k-NN, SVM, Random Forest, privacy models, etc.

  
  

• Understanding exploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis

  
  

• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

  
  

• Experience in building and optimizing reactive and predictive models with Machine Learning techniques

  
  

You're the right fit if:

• 7-10 years experience in AI and Data Science field

  
  

• Master's in computers, electronics, electrical engineering or PhD in relevant streams

  
  

• Experience with one or more analytic software tools or languages like Python, R

  
  

• Strong analytical, problem solving and communication skills

  
  

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.
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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