Description

  • Proven experience in developing data and services in an enterprise and/or cloud environment.
    • Lead the Architecture and Design:
    • Translate Business Needs/ QE needs into AI Solutions:
    • Design and Implement AI/ML Models and Algorithms: 
    • Data Architecture Expertise:
    • Collaborate and Lead:
  • Deep understanding of AI systems, model governance, and risk frameworks.
  • Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle, Postgres, SQL Server, SQL, Java, Python, Scala.
  • Strong working knowledge of data engineering technologies, data modeling tools, and ETL strategies.

Key Skills
Education

Any Graduate

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