MLOps/DevOps/CloudOps

Job Description:

• 2 yrs DevOps Cloud MLOps experience Python for scripting and automation
• Strong 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