MLOps Engineer

Role Description

This is a contract remote role for a MLOps Engineer. The MLOps Engineer will be responsible for creating and enhancing the CI/CD pipelines, managing cloud infrastructure, and automating model deployment. The MLOps Engineer will also be responsible for monitoring and scaling the production environment.

Qualifications

· A passion for automating everything

· 5+ years of experience in DevOps/MLOps

· 3+ years experience working on machine learning pipelines

· 2+ years experience working with data pipelines

· Strong understanding of Python best practices and design patterns

· Experience with Python web frameworks like Flask and FastAPI

· Experience building scalable production-ready REST APIs

· Experience with EKS and Helm Charts

· Strong AWS and Azure cloud experience

· Experience with CI/CD best practices and familiarity with Jenkins, Git, Azure DevOps, and AWS Sagemaker

· Familiar with deep learning algorithms

· Familiar with Pytorch, Tensorflow, Sklearn, XGBoost

· Excellent communication skills