Job Description

  • Machine Learning Development:
  • Design and implement ML models for predictive analytics, classification, regression, and clustering. Perform feature engineering, model tuning, and validation using frameworks like scikit-learn, TensorFlow, or PyTorch. Deploy ML models into production environments and monitor performance.
  • Data Engineering & Processing:
  • Build and optimize large-scale data pipelines using PySpark for distributed processing. Handle structured and unstructured data from multiple sources while ensuring data quality, consistency, and security.
  • Programming & Automation:
  • Develop reusable Python scripts and automation tools for data ingestion, transformation, and ML workflows. Follow best practices for code quality, testing, and version control (Git).
  • Collaboration & Integration:
  • Work with data scientists, analysts, and business teams to translate ...

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