Data Scientist I

7 - 10 years

20 - 25 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Description

Job Title Data Scientist I
Job Description
Job Title: Data Scientist I
Your Role:
  • Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture.
  • Understanding of the state-of-the-art computer vision, NLP and AI for imaging algorithms.
  • Experience in developing NLP algorithms, AI based Computer Vision applications.
  • Experience in NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis etc. ), semantic extraction techniques, data structures and modeling.
  • Experience in Deep Learning frameworks like Pytorch, Tensorflow.
  • 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.
  • Experience with one or more analytic software tools or languages like Python, R.
  • Strong analytical, problem solving and communication skills.
Youre the right fit if:
  • You have Masters in Computers, Electronics, Electrical Engineering or PhD in relevant streams with 7-10 yrs. of experience in AI and Data Science field.
About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we wont 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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Philips

Healthcare Technology

Amsterdam

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