MLOps Engineer
Infosys
Bengaluru East, Karnataka, India1h agovia LinkedIn
About the Role
MLOps Engineer at Infosys.
Key Responsibilities
- Design, build, and maintain scalable MLOps and DevOps solutions on AWS Cloud Services.
- Develop and manage CI/CD pipelines for ML model deployment and application releases.
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
- Deploy, monitor, and optimize machine learning models in production environments.
- Manage containerized applications using Docker and Kubernetes.
- Implement model versioning, experiment tracking, and monitoring frameworks.
- Ensure security, reliability, and high availability of cloud infrastructure.
- Collaborate with Data Scientists, ML Engineers, and Development teams to operationalize ML workflows.
- Troubleshoot deployment, performance, and infrastructure-related issues.
Requirements & Tech Stack
- Strong experience with AWS Cloud Services: EC2, S3, Lambda, IAM, EKS, ECS, CloudWatch, SageMaker.
- Hands-on experience with MLOps tools: MLflow, Kubeflow, SageMaker, or Vertex AI.
- Experience in DevOps tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps.
- Proficiency in Python scripting and automation.
- Expertise in Docker and Kubernetes.
- Knowledge of Infrastructure as Code tools: Terraform or CloudFormation.
- Experience with monitoring tools: CloudWatch, Prometheus, and Grafana.
- Strong understanding of Linux systems and networking concepts.
- Experience with Git version control.