Required Experience:
Minimum 3-5 years of experience in AI/ML, Data Science, or Applied AI Engineering.
Solid proficiency in Python, machine learning, and data analysis.
Hands-on experience with deep learning, transformer-based architectures, and modern AI frameworks (e.g., PyTorch, TensorFlow).
Experience in one or more of the following domains: computer vision, generative AI, foundation models, diffusion models, predictive modelling.
Developing, validating, and deploying AI/ML solutions in production or enterprise environments.
Working with cross-functional teams comprising of domain experts, software engineers, product owners, and business stakeholders.
Experience in medical imaging, healthcare AI, supply chain analytics, or other applied AI domains.

Required Skills:
1. AI Model Development
Computer vision
Generative AI
Predictive modelling
Optimisation
Model fine-tuning

2. Clinical Imaging AI
Medical imaging AI
MRI image understanding
Image quality assessment
Model Explainability

3. Data Quality & Validation
Data cleansing
Annotation review
Dataset readiness




Statistical validation
Failure analysis

4. Deployment & MLOps
Experiment tracking
Model versioning
Deployment support
Monitoring
Documentation

5. Collaboration & Delivery
Cross-functional collaboration
Requirement clarification
Stakeholder interaction
Technical documentation – compliant with defined procedures and templates
Productization support

Job Responsibilities:
Collaborate with Philips teams on applied AI use cases across clinical imaging and supply chain domains.
Contribute to the development, evaluation, and refinement of AI/ML models, including computer vision, generative AI, predictive modelling, and optimisation-based approaches, depending on the use case.
Work with clinical, engineering, business, and IT stakeholders to translate problem statements into clear AI requirements, success criteria, data needs, and measurable outcomes.
Support data preparation activities such as data cleansing,

📌 Data Scientist (Bengaluru)
🏢 Cyient
📍 Bengaluru