Become a key player as a Senior DevOps Engineer focused on automating machine learning pipelines. Work hand-in-hand with scientists to build scalable systems in a cloud environment.

This role demands over five years of experience in creating sophisticated production infrastructure. You will need strong skills in Azure or AWS, along with expertise in Kubernetes and Docker. Collaborating with teams, you will automate tasks related to data ingestion, processing, model training, and performance monitoring.

Key Responsibilities: • Develop and automate machine learning pipelines • Implement scalable systems for data processing • Manage CI/CD tools and pipelines • Oversee container orchestration using Kubernetes • Communicate effectively across diverse teams

Requirements: • 5+ years of production infrastructure experience • Proficient in Azure or AWS • Strong skills in Linux system administration • Experienced with Git, Jenkins, and Elasticsearch • Degree in Compute...