Senior MLOps Engineer

A company is looking for a Senior MLOps Engineer.

Key Responsibilities

Design and maintain end-to-end ML pipelines for model training, evaluation, and deployment

Build and optimize infrastructure for distributed training and model serving across GPU and cloud environments

Implement CI / CD best practices for ML systems, including continuous integration and automated testing

Required Qualifications

6-10+ years of experience in software or ML engineering, with at least 3+ years in MLOps or ML infrastructure

Solid experience working with Python, C, C++, and Bash

Proven experience deploying and managing ML models in production

Proficiency with Docker and Kubernetes for scalable ML system design

Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration