MLOps Engineer

A company is looking for an MLOps / ML Platform Engineer.

Key Responsibilities

Design and operate ML infrastructure for high-throughput model workflows

Build scalable pipelines for training and evaluation with versioning and tracking

Optimize compute resources and manage model serving in production

Required Qualifications

4+ years of experience in ML platform, DevOps, or infrastructure engineering

Deep knowledge of Kubernetes, CI / CD, containers, and cloud infrastructure (AWS, GCP, or Azure)

Hands-on experience managing GPU clusters and training / inference pipelines

Strong Python skills and experience with infrastructure as code and automation

Proven ability to ship and operate production ML systems with SLOs