Big Data engineer /AI-ML

Desired Candidate Profile

• Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
• Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
• Write clean, high-performance, high-quality, maintainable code.
• Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications
• Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
• Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
• Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
• Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
• Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
• Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.