Description

You will support and maintain ML/AI workflows in production environments, ensuring reliable execution of scheduled models and pipelines.

This role is on-site.

Responsibilities

• Monitor and troubleshoot ML pipelines and model-related issues in production.
• Debug and maintain Python-based ML scripts and automated jobs.
• Perform data validation and reporting using SQL.
• Resolve incidents and provide production support within defined SLAs.

Required Skills

• 5+ 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 for scripting and debugging.
• Proficiency in SQL for data validation and reporting.
• Experience supporting AWS-based ML environments.
• Knowledge of troubleshooting, monitoring, and incident management.

Preferred Skills

• Experience with end-to-end ML pipeline orchestration.
• Background in production support for high-availability AI systems.

Key Skills

Education

Any Graduate