Job Description

Key Responsibilities

  • Translate business problems into Machine Learning problems , selecting appropriate modeling approaches and metrics.
  • Prepare, split, and label datasets to support robust model training and evaluation.
  • Define and compute features from multiple data sources.
  • Design, execute, and evaluate experiments to assess model performance.
  • Build, deploy, and maintain Machine Learning models in production using MLOps best practices .
  • Define and monitor model performance and drift metrics , triggering model retraining when required.
  • Collaborate closely with engineering and business stakeholders to ensure scalable and reliable solutions.


Required Skills & Experience

  • 2+ years of experience building and deploying Machine Learning models in production.
  • Hands-on experience with MLOps setups , including C...

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