Chief manager - application

About the role

The Senior MLOps Engineer will be responsible for designing, implementing, and managing the end-to-end operational lifecycle of Machine Learning and Generative AI models. This includes model packaging, deployment, CI/CD automation, model monitoring, infrastructure management, governance, observability, and continuous optimization.

What you'll do

• Responsible for designing, implementing, and managing the end-to-end operational lifecycle of Machine Learning and Generative AI models
• Design and implement the enterprise MLOps platform
• Define the operating model for AI and ML deployments
• Establish standards for model lifecycle management
• Develop reusable deployment templates and automation frameworks

What you need

• 5–8 yrs of experience
• MLOps
• Machine learning
• LLMs
• CI/CD
• Compliance
• Kubernetes
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Terraform
• CRM
• Marketing automation
• IAM
• Vulnerability assessment