Lead/Sr MLOps Engineer - Domino Data Lab

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

Benefits

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.)