Role : ML OPS Lead Engineer

Job Mode : Remote

Experience : 7+ Years

Notice Period : Immediate / 10 to 15 Days

Experience Required:

7+ years in platform or infrastructure engineering with significant experience in ML Ops, AI, and Cloud (Azure & AWS).

Key Responsibilities:

• Design, deploy, and manage scalable, secure, and high-performing cloud-based infrastructures across Azure and AWS.
• Lead end-to-end ML Ops lifecycle, including model deployment, monitoring, retraining, and CI/CD integration.
• Collaborate with AI/ML, Data Science, and DevOps teams to automate model lifecycle management and streamline ML workflows.
• Architect and implement governance, compliance, observability, and security