Description

Key Skills: AI/ML, MLOps, Python, SQL, AWS, ML Pipelines, Production Support

Roles & Responsibilities:

• Support ML/AI workflows in production environments.
• Monitor and troubleshoot ML pipelines and model-related issues.
• Debug and maintain Python-based ML scripts and jobs.
• Perform data validation and reporting using SQL.
• Resolve incidents and provide production support within SLAs.
• Ensure successful execution of scheduled ML workflows.

Experience Required:

• 2-8 years of experience in ML Engineering, MLOps, or AI/ML Support.
• Strong knowledge of AI/ML concepts and model lifecycle support.
• Hands-on experience with Python and SQL.
• Experience supporting AWS-based ML environments.
• Knowledge of troubleshooting, monitoring, and incident management.

Education: Any Graduation

Key Skills

Education

Any Graduate