Machine Learning Systems Administrator / DevOps Engineer: Training Clusters & Inference Cloud

About this kind of role

What a Machine Learning Systems Administrator / DevOps Engineer: Training Clusters & Inference Cloud usually does. The employer's own details are in the listing.

Typically does: This role focuses on building, maintaining, and scaling the infrastructure that supports machine learning models. Responsibilities include managing training clusters, deploying models for inference, and automating deployment pipelines. Monitoring system performance, troubleshooting issues, and ensuring reliability are also key aspects of the job. Collaboration with machine learning engineers and data scientists is common to optimize workflows.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), and configuration management tools (Ansible, Terraform) is generally expected, alongside a strong understanding of DevOps principles.

Good fit for: Individuals with a background in systems administration or DevOps, combined with an interest in machine learning and a passion for automation, often thrive in this position.