Description

You will design and maintain data infrastructure, focusing on scalable Python code and GenAI system optimization.

This role is on-site.

Responsibilities

• Design, develop, and implement high-performance Python code for efficiency and scalability.
• Build reusable Python components to support generative AI project goals.
• Troubleshoot and debug issues within generative AI systems to optimize model performance.
• Conduct tests and experiments to enhance system performance and document findings.
• Apply data ingestion, transformation (ETL), and modeling practices.

Required Skills

• 5+ years of professional experience, preferably with GenAI projects.
• Expertise in data ingestion, ETL, and data modeling.
• Proficiency in Python for building efficient and scalable solutions.
• Experience with standard ML libraries such as NumPy and Pandas.
• Experience working within Agile/SCRUM enterprise-scale software development environments.
• Demonstrated understanding of Azure cloud architecture at an enterprise scale.
• Experience with Linux/Unix environments.
• Background in Unit, Integration, and System testing practices.

Key Skills

Education

Any Graduate