MLOps/DevOps/CloudOps

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

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: 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