DevOps / MLOps Engineer - Remote

Overview

We are seeking a skilled DevOps Engineer with hands-on MLOps experience to design, automate, and manage scalable infrastructure and CI/CD pipelines for cloud-native and machine learning workloads.

In Short

• Design, build, and maintain CI/CD pipelines using Jenkins and automation tools
• Implement and manage MLOps pipelines for model training, deployment, monitoring, and retraining
• Deploy, manage, and scale containerized applications using Kubernetes
• Automate infrastructure provisioning and configuration using IaC tools
• Manage cloud infrastructure and services on Google Cloud Platform (GCP)
• Ensure high availability, security, and performance of platforms and pipelines
• Collaborate with data scientists and engineers to productionize ML models
• Monitor systems, optimize costs, and troubleshoot production issues

Requirements

• Strong experience as a DevOps Engineer with exposure to MLOps practices
• Hands-on expertise with Kubernetes (deployment, scaling, networking)
• Strong experience with Jenkins for CI/CD automation
• Experience with automation and scripting tools (Terraform, Ansible, Bash, Python, etc.)
• Strong understanding of containerization (Docker) and microservices architecture
• Experience with monitoring, logging, and alerting solutions

Benefits

• Remote work flexibility
• Opportunity to work on innovative ML projects
• Collaboration with talented teams
• Professional development opportunities
• Competitive salary and benefits