Machine Learning Engineer

Key Responsibilities • Design, build, and maintain AWS cloud infrastructure. • Implement and manage containerized environments using Docker and Kubernetes. • Develop and optimize CI/CD pipelines leveraging tools such as ArgoCD and Argo Workflow. • Automate infrastructure provisioning and configuration using Terraform, Terragrunt, and Chef. • Monitor and maintain system health using tools like Prometheus, Grafana, and ELK stack. • Collaborate with cross-functional teams to ensure reliability, scalability, and security of systems. • Troubleshoot complex issues and provide innovative solutions for infrastructure challenges. Required Qualifications • Education: B.Tech (or equivalent) in Computer Science or related field. • Experience: 5+ years of hands-on DevOps experience. • Strong scripting skills in Python, Go, Bash, or Ruby. • Proficient in AWS cloud services and infrastructure management. • Expertise in container technologies (Docker, Kubernetes) and CI/CD methodologies. • Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). • Experience with infrastructure-as-code tools (Terraform, Terragrunt) and configuration management (Chef).