Description

You will build and integrate machine learning solutions to optimize data management and query performance.

This role is on-site.

Responsibilities

• Collaborate with data scientists to identify Big Data and query tuning opportunities using machine learning and generative AI.
• Build backend applications using Python, Docker, and Google Cloud to orchestrate end-to-end workflows.
• Design and develop scalable Big Data engineering solutions and generative AI applications.
• Implement prompt engineering techniques to fine-tune and enhance LLM performance.
• Write clean, maintainable, and high-performance code for production environments.

Required Skills

• 5+ years of experience as a Big Data or MLOps Engineer.
• Proficiency in Python and SQL.
• Hands-on experience with Spark, Spark SQL, Hive SQL, and BigQuery.
• Experience tuning Dataproc, BigQuery, and Spark applications.
• Experience with Google Cloud and Docker.
• Working knowledge of Generative AI application development.
• Proficiency with Git and software engineering best practices, including code reviews and testing.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate