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