Description

You will work as a mid-level Data Engineer focused on data infrastructure and processing.

Responsibilities

• Design, develop, and implement high-performance Python code focusing on efficiency and scalability.
• Create reusable Python code capable of generating creative content to meet project goals.
• Troubleshoot, debug, and resolve issues within generative AI system development to optimize model performance.
• Conduct tests and experiments to enhance overall system performance and document findings.

Required Skills

• 5+ years of professional experience, preferably with GenAI projects.
• Expertise in data ingestion, data transformation (ETL), and data modeling.
• Proficiency in Python for building efficient and scalable solutions.
• Experience applying 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