Lead/Sr MLOps Engineer - Domino Data Lab

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an experienced Lead/Sr MLOps Engineer with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments. Responsibilities Manage and optimize the Domino Data Lab platform across the machine learning lifecycle Oversee MLOps processes to support efficient model development and operations Maintenance of Kubernetes clusters and Docker containers for scalable workloads Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub Administration of Linux environments to ensure system stability Provide platform support at L2/L3 levels for end users and stakeholders Monitoring and troubleshooting of platform issues to minimize downtime Collaboration with data science teams to streamline machine learning workflows Deployment and management of solutions across AWS, Azure and GCP Requirements 5+ years of experience in MLOps or machine learning lifecycle management Knowledge of Domino Data Lab platform Expertise in Kubernetes and Docker Proficiency in Python and R Skills in CI/CD tools including Jenkins, GitLab and GitHub Familiarity with AWS, Azure and GCP Competency in Linux administration Capability to perform monitoring and troubleshooting Background in platform support at L2/L3 levels Nice to have Background in AI/ML engineering Skills in model deployment and monitoring Familiarity with data science platform support Proficiency in infrastructure automation using Terraform and Ansible We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an experienced Lead/Sr MLOps Engineer with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments. Responsibilities Manage and optimize the Domino Data Lab platform across the machine learning lifecycle Oversee MLOps processes to support efficient model development and operations Maintenance of Kubernetes clusters and Docker containers for scalable workloads Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub Administration of Linux environments to ensure system stability Provide platform support at L2/L3 levels for end users and stakeholders Monitoring and troubleshooting of platform issues to minimize downtime Collaboration with data science teams to streamline machine learning workflows Deployment and management of solutions across AWS, Azure and GCP Requirements 5+ years of experience in MLOps or machine learning lifecycle management Knowledge of Domino Data Lab platform Expertise in Kubernetes and Docker Proficiency in Python and R Skills in CI/CD tools including Jenkins, GitLab and GitHub Familiarity with AWS, Azure and GCP Competency in Linux administration Capability to perform monitoring and troubleshooting Background in platform support at L2/L3 levels Nice to ha