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Responsibilities:

  • Lead and mentor a team of engineers building data platforms and ML operations.
  • Own reliability, scalability, and improvement of data infrastructure and ML lifecycle.

Requirements:

  • 5+ years in data/ML engineering, 2+ years managing teams, strong AWS knowledge.
  • Experience with ClickHouse, Databricks, Snowflake, BigQuery, and ML lifecycle tools.

Benefits:

  • Remote-friendly work environment with flexibility for your preferred location.
  • Competitive compensation, inclusive culture, and professional growth opportunities.

Partner Company

The company builds advanced data and machine learning platforms that power analytics and intelligent products. Its culture emphasizes innovation, reliability, and inclusivity, supporting professional growth and technical excellence.

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