Job Description
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