(ML OPNS Lead)Machine Learning Operations Lead Engineer

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 frameworks for ML and GenAI systems.
• Drive innovation in Generative AI and Agentic AI ecosystems , integrating services like Azure OpenAI, Bedrock, Anthropic Claude, and OpenAI API.
• Implement infrastructure-as-code (IaC) practices using Terraform, Bicep, ARM, or CloudFormation .
• Manage networking, IAM, and security configurations across Azure and AWS environments.
• Establish monitoring, alerting, and performance dashboards using Grafana, Prometheus, Azure Monitor, and Log Analytics .

Required Technical Skills :

Cloud Platforms :

AI / ML & Generative AI :

DevOps & Automation :

Database & Storage :

Networking & Security :

ML Engineering & Workflow Management :

Additional Skills (Good to Have) :

Testing & Quality :

Preferred Qualifications :