Data Scientist - Computer Vision
Philips (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy AI/ML solutions focusing on computer vision, NLP, generative AI, and LLM-based techniques to address complex business and product challenges.
- Design, build, and evaluate deep learning models and pipelines using architectures such as YOLO and U-Net, ensuring robust model training, evaluation, and productionization.
- Collaborate with cross-functional teams for integrating models into production and continuously monitor and improve model performance while mentoring junior data scientists.
Minimum Requirements
- 7-10 years of experience in AI and Data Science fields.
- Master's degree in computers, electronics, electrical engineering or PhD in relevant streams.
- Strong hands-on experience with Python, ML/statistical modelling, deep learning frameworks (PyTorch/TensorFlow), computer vision (OpenCV), NLP, generative AI, LLMs, RAG, and agentic AI frameworks.
- Role is office-based with at least 3 days per week onsite requirement.
Ideal Candidate Profile
- Experienced practitioner with deep expertise in multiple AI/ML domains including computer vision, NLP, and generative AI, capable of handling end-to-end solution development.
- Comfortable working in cross-functional, product-oriented environments collaborating with engineering and business teams.
- Able to lead the productionization of AI models with a focus on scalable pipelines and data quality oversight.