Position: MLOps Engineer (AWS, SageMaker, Terraform, DevOps)

Experience: 2 to 5 years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

- Design, implement, and manage CI/CD pipelines using Jenkins, Git, and automation tools.
- Deploy, monitor, and maintain Machine Learning models and pipelines on AWS SageMaker, Databricks, and Lambda environments.
- Build and manage cloud infrastructure using Terraform and CloudFormation templates.
- Containerize applications and ML workloads using Docker and deploy them on Kubernetes/EKS clusters.
- Automate infrastructure provisioning, configuration, and deployment processes using Python scripts.
- Manage and optimize AWS services including ECS, S3, IAM, RDS, Lambda, and SageMaker.




- Troubleshoot production issues related to cloud infrastructure, Kubernetes, EKS, and deployment pipelines.
- Implement monitoring, logging, and alerting solutions for cloud and ML platforms.
- Collaborate with Data Scientists, ML Engineers, and Development teams to operationalize machine learning models.
- Ensure scalability, security, compliance, and high availability of cloud-based applications and ML platforms.
- Drive Infrastructure as Code (IaC) best practices and DevOps automation initiatives.
- Support release management, setting maintenance, and cloud optimization activities.

📌 MLOps Engineer (AWS, SageMaker, Terraform, DevOps)-L (Bengaluru)
🏢 Infosys
📍 Bengaluru