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About the Role

The AI Engineer is responsible for designing, implementing, and maintaining robust MLOps pipelines to enable scalable, secure, and reliable deployment of machine learning models in production. The role bridges data science and engineering, ensuring seamless integration of AI solutions into enterprise systems and driving operational excellence in AI initiatives.

Design and implement MLOPS, i.e. set of tools and operating models used to deploy & maintain & monitor AI/ML models in production reliably and efficiently

Support AI/ML solutions go-live integration

Act as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-up

Design & build the technical architectur...