Senior MLOps Engineer

Location: Remote

Compensation: To Be Discussed

Reviewed: Fri, Feb 27, 2026

This job expires in: 30 days

Job Category: Information Technology

Employer Type: Employer

Career Level: Experienced, Senior Level

Education Level: Masters

Job Summary

A company is looking for a Senior MLOps.

Key Responsibilities

Support clusters (GPU/TPU), containerization, and orchestration (Docker, Kubernetes)
Audit and optimize infrastructure and costs, managing hardware resources
Deploy and support ML services in production and manage the complete ML lifecycle

Required Qualifications

4+ years of DevOps experience, with at least 1 year in MLOps
Experience with GPU/TPU infrastructure and NVIDIA stack
Proficiency in Docker, Ansible, and Kubernetes
Familiarity with observability stack tools like ELK, Prometheus, and Grafana
Experience with ML Serving technologies

COMPLETE JOB DESCRIPTION

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