Job Title: MLOps Engineer
Job Type: Full-time Contract
Location: Hybrid Gurugram
Job Summary
We are looking for an experienced MLOps Engineer to support end-to-end model development, deployment, and monitoring in a hybrid role from Gurugram. You will work closely with clients and internal teams to deliver reliable, scalable AI solutions.
Key Responsibilities
- Build and manage end-to-end MLOps pipelines covering development, deployment, versioning, and monitoring.
- Use AWS services including SageMaker, Lambda, S3, CodeBuild, CodeCommit, and Step Functions.
- Apply CI/CD and DevOps practices to enhance automation and reliability.
- Containerize applications using Docker and manage deployments with Kubernetes (EKS) and ECR.
- Deploy UI components on EC2 and EKS within microservices-based architecture.
- Communicate daily with clients and stakeholders.
- Troubleshoot deployment and operational issues to ensure system stability.
Required Skills and Qualifications
- 4+ years of experience in MLOps, DevOps, or related fields.
- Strong understanding of the MLOps lifecycle.
- Hands-on experience with AWS SageMaker, CodeBuild, CodeCommit, S3, Lambda, and Step Functions.
- Expertise in Docker, Kubernetes (EKS), and ECR.
- Experience with CI/CD pipelines and cloud-based UI deployments (EC2/EKS).
- Excellent written and verbal communication; strong client-facing skills.
