ML Architect

19 hours ago

India Zensar Technologies Full time

MLOps / ML Architect – 01 starts August

  • 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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