About this role
EPAM Systems seeks a Lead/Sr MLOps Engineer with deep Domino Data Lab expertise to manage machine learning operations across the ML lifecycle. The role focuses on platform reliability, infrastructure automation, and the deployment and monitoring of production ML solutions. Offices are listed in Gurgaon, Pune, Coimbatore, Chennai, Hyderabad, Jaipur and Bangalore, India.
Responsibilities
- Manage and optimize Domino Data Lab and MLOps processes that support model development and operations.
- Maintain Kubernetes clusters and Docker containers; build CI/CD pipelines using Jenkins, GitLab and GitHub; and administer Linux environments.
- Provide L2/L3 platform support, monitor and troubleshoot issues to minimize downtime, and collaborate with data science teams to streamline workflows.
- Deploy and manage solutions across AWS, Azure and GCP.
Requirements
- 5+ years of experience in MLOps or machine learning lifecycle management, with knowledge of Domino Data Lab.
- Expertise in Kubernetes and Docker; proficiency in Python and R; CI/CD skills; familiarity with AWS, Azure and GCP; and competency in Linux administration.
- Ability to monitor and troubleshoot systems and provide L2/L3 platform support.
Nice to have: AI/ML engineering experience, model deployment and monitoring skills, data science platform support experience, and infrastructure automation proficiency with Terraform and Ansible.
Skills for this role
MLOpsDomino Data LabKubernetesDockerPythonRCI/CDJenkinsGitLabGitHubAWSAzureGCPLinuxPlatform monitoringTroubleshootingL2/L3 supportModel deploymentTerraformAnsibleInfrastructure automation