2+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
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.
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
Source: Infosys careers — Read the original posting and apply
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