Responsibilities
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Design, develop, and maintain scalable data pipelines using PySpark to efficiently process large volumes of data.
Develop, test, and optimize Machine Learning models for predictive analytics, including regression, classification, and clustering techniques.
Manage and deploy Machine Learning environments and workflows using AWS SageMaker, while leveraging Athena for data querying and analysis.
Integrate Machine Learning models into production pipelines, ensuring proper monitoring, maintenance, and continuous improvement through MLOps best practices.
Collaborate closely with cross‑functional teams to understand business challenges and translate them into data‑driven solutions.
Conduct advanced data analysis using Python and SQL to deliver actionable insights.
Work collaboratively...