Job role : Big Data engineer /AI-ML
Experience : 5+yrs
Job Description:
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities:
– 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.
Requirements:
– A Master’s or Ph.D. degree in Computer Science or a related field.
– 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.
Job Type: Contract to Hire
Job Category: Software Developer
Job Positions: 2
