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 productive 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

📌 Lead/Sr MLOps Engineer (Gurugram)
🏢 EPAM Systems
📍 Gurugram