Data Scientist -Generative AI

10 Minutes ago • 7-10 Years
Data Analysis

Job Description

Philips is seeking a Data Scientist with 7-10 years of experience in Generative AI and Deep Learning. The role involves applying GenAI techniques like LLMs and RAG architecture, and CV-based Deep Learning models such as Unet and YOLO. Candidates should be proficient in frameworks like PyTorch and TensorFlow, possess strong machine learning and statistical skills, and be adept at building and optimizing predictive models. This full-time, hybrid position in Bangalore focuses on improving healthcare through meaningful innovation.
Must Have:
  • Experience in using GenAI techniques like Agentic frameworks, Auto encoders, Transformers, LLMs, RAG Architecture
  • Experience in CV based Deep Learning models like Unet, YOLO
  • Experience with machine learning and deep learning frameworks, like PyTorch , Tensorflow, OpenCV
  • Excellent understanding of machine learning techniques and algorithms like k-NN, SVM, Random Forest, privacy models
  • 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
  • Experience in building and optimizing reactive and predictive models with Machine Learning techniques
  • 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

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Job Title

Data Scientist -Generative AI

Job Description

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.

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.

#LI-Hybrid

#LI-PHILIN

About Us

At Philips, we believe that every human matters. As a global health-tech leader, we focus on improving people’s health and wellbeing through meaningful innovation. The people who work here share our passion and are motivated to bring this purpose to life.

For more than 130 years, we have been creating technologies and innovations that improve people's lives and support healthcare practitioners. Headquartered in the Netherlands and operating in more than 100 countries globally, we focus our advanced technology and deep clinical and consumer insights on Precision Diagnosis, Image Guided Therapy, Enterprise Informatics, Monitoring/ Connected Care, Sleep & Respiratory Care and Personal Health.

Together, we deliver better care for more people because we believe that every human matters. That's why we're taking steps to create an environment where we acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.

It is the policy of Philips to provide equal employment and advancement opportunities to all qualified employees and applicants for employment without regard to race, color, religion, sex, pregnancy/childbirth or related medical conditions, age, ethnic or national origin, sexual orientation, gender identity or expression, physical or mental disability, genetic information, citizenship status, veteran or military status, marital or domestic partner status or any other characteristic protected by law. As an equal opportunity employer, Philips is committed to fostering a culture where all are treated with respect and professionalism.

To ensure reasonable accommodations for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974 and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.

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