Design/deploy ML pipelines and LLM-powered agents (RAG, Agentic AI) using AWS Bedrock, SageMaker, LangGraph
Design, build, and maintain scalable MLOps and DevOps solutions on AWS.
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.
Strong experience with AWS Cloud Services (EC2, S3, Lambda, IAM, EKS, ECS, CloudWatch, SageMaker).
Hands-on experience with MLOps tools such as 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 such as Terraform or CloudFormation.
Experience with monitoring tools like CloudWatch, Prometheus, and Grafana.
Strong understanding of Linux systems and networking concepts.
Experience with Git version control.
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
Upload your CV once — we read it, build your profile and put you in front of every employer hiring on Kaam Ki Khoj. No forms, no fees.
