Description

Hands On:

  • Python (Pandas, NumPy, Scikit-learn)
  • Databricks (PySpark, Delta Lake)
  • Snowflake (SQL, Snowpark)
  • MLflow

Knowledge of:

  • CI/CD for ML
  • Docker and Kubernetes
  • Git and version control
  • Feature engineering and model evaluation
  • A/B testing and monitoring of ML models

Experience:

  • 2-3 years in productionizing machine learning pipelines
  • Working knowledge of cloud platforms (AWS, Azure, or GCP)

Key Skills
Education

Any Gradute

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