Senior MLOps Engineer

🚀 Hiring : MLOps Engineer

Experience : 5–8 Years (with at least 2+ years in MLOps or ML deployment roles)

Location : Bengaluru, Bhopal, Gurgaon, Hyderabad, Jaipur, Mumbai, Pune , Chennai

About the Role

We are seeking a skilled MLOps Engineer to operationalize and scale machine learning solutions on AWS. The ideal candidate will have strong expertise in cloud infrastructure, automation, and ML lifecycle management — from model training to deployment and monitoring — ensuring efficient and secure ML operations.

Key Responsibilities

• Design and implement end-to-end MLOps pipelines using AWS SageMaker, Lambda, and Step Functions.
• Automate model deployment, monitoring, and retraining workflows for high availability and performance.
• Collaborate with data scientists to streamline model experimentation, versioning, and governance.
• Manage infrastructure-as-code using Terraform or CloudFormation for scalable and repeatable environments.
• Implement CI / CD pipelines for ML models and data workflows using Jenkins, GitLab, or similar tools.
• Set up and maintain monitoring, logging, and alerting systems with AWS CloudWatch and native services.
• Enforce model governance, approval workflows, and compliance practices.
• Partner with DevOps and Data Engineering teams to standardize MLOps best practices.
• Continuously optimize ML model performance, reliability, and cost efficiency.

Skills & Requirements

Good to Have

Education