Job Description:

- 2 yrs DevOps Cloud MLOps experience Python for scripting and automation
- Robust with Jenkins Git Docker EKS troubleshooting
- AWS SageMaker Lambda S3 ECS IAM RDS infra creation
- IaC CloudFormation CFT and Terraform
- MLOps build operate ML pipelines deploying to SageMaker Databricks or Lambda

Key Responsibilities:

- Design implement and maintain CI CD pipelines for ML and application deployments
- Build and manage MLOps frameworks for model training deployment monitoring and retraining
- Automate infrastructure provisioning using Infrastructure as Code IaC
- Deploy and manage machine learning models in production environments
- Monitor application and model performance ensuring high availability and reliability
- Manage containerized applications using Docker and Kubernetes
- Collaborate with Data Scientists ML Engineers and Development teams to streamline deployments




- Implement security compliance and governance best practices across cloud environments
- Optimize cloud infrastructure for scalability performance and cost efficiency
- Troubleshoot production issues and perform root cause analysis

Additional Responsibilities:

- Python Information Retrieval Text Processing DevOps CI CD Monitoring
- Docker Git MLflow model serving monitoring debugging version control CI CD Kubernetes
- Prompt Engineering AI Coding Assistants

Preferred Skills:

Technology->AI-AI Engineering->MLOps,Technology->AI-Data science->PYTHON,Technology->Cloud Platform->Amazon Webservices DevOps

Skills: Jenkins, Git, Docker, Kubernetes, Terraform, Cloudformation, Databricks, Python

Experience: 0.00-0.00 Years

📌 MLOps/DevOps/CloudOps (Bengaluru)
🏢 Infosys
📍 Bengaluru