Job Title

Job Description

Your role:

• Experience in development, validation, packahing, deployment of AI models. Creating monitoring and feedback pipelines.

• Familiarity with DevOps, MLOps, Agile development practices, Goodl ML practices.

• Awareness of data privacy, Regulation, Management practices. Qualifications

• Proven record in building state of the art AI Engineering solution including productization, deployment and support.

• Building Proof of concept for a clinical domain problems example segmentation, clustering, prediction on imaging and numerical data

• Ability to explore a given technical problem and prepare a high quality research report with recommended technical solutions. Implementing an algorithms from research papers

• Keeping abreast with state of the art in machine learning, deep learning, image analytics

• Ability to define new research problems and new research proposals

You're the right fit if:

• MS, B. Tech, M. Tech with minimum  of 3 - 5 5years experience in CS/ECE

• Theoretical background in Machine Learning, Data Engineering, Statistics, Image processing, NLP, Numerical data analysis

• Hands on experience in building end 2 end AI solutions using data pre-processing, feature engineering, AI algorithm building, Performance tuning and deployment

• Liaison with principal and fellow architects for AI solution, architecture, design and implement

• Hands on experience in MLOps, Cloud architecture, Scalable AI model packaging and deployment

• Distributed and high availability models deployment for production

• Creating devOps, MLOps, Monitoring pipeline with advanced functions such as active learning, shadow learning etc

• Manage and deploy infra and optimize from cost perspective.

• Proficiency in Python,  TensorFlow, OpenCV, scikit-learn, Keras, Git, Pytorch, Pandas, NumPy etc

• Familiarity with Cloud technologies such as AWS Sagemaker, Azure AI platform, Google vertex etc is a plus

• Familiarity with End 2 End knowledge for SW Engineering, MLOps, and Agile development is a plus

• Familiarity with foundational AI such as large language models, GenAI techniques, GANs and other state of the art in AI field

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About Philips
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• 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 commitment to diversity and inclusion here.