ML Architect

MLOps / ML Architect – Location : Bangalore/Hyderabad/Pune Notice Period: Immediate / 20 Days Work mode: Hybrid 14 – 16 years of total experience, 3 – 5 years of relevant experience on Sagemaker AI Hands on experience of the following – Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated Ensure the consistency of feature data between offline training and online operations Govern data in a feature store and promote collaboration between teams with a feature store Implement MLOps principles of automated testing, versioning, and monitoring of features and models. The modeling skills required for ML: How to train ML models from (time-series) tabular data in a feature store How to personalize LLMs using fine-tuning and RAG How to validate models using evaluation data from a feature store Identify and develop reusable model-independent features Identify and develop model-dependent features Identify and develop on-demand (real-time) features validate feature data, test feature functions and test ML pipelines Schedule feature pipelines and batch inference pipelines Deploy real-time models, connected to a feature store Log and monitor features and models with a feature store Develop user-interfaces to ML systems

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