Machine Learning Systems Administrator / DevOps Engineer : Remote

About this kind of role

What a Machine Learning Systems Administrator / DevOps Engineer : Remote usually does. The employer's own details are in the listing.

Typically does: This role focuses on deploying, maintaining, and monitoring machine learning models in production environments. Responsibilities include automating model deployment pipelines, ensuring system scalability and reliability, and collaborating with data scientists and software engineers. Troubleshooting issues, optimizing performance, and implementing monitoring solutions are also key aspects of the job. The administrator works to bridge the gap between model development and operationalization.

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

Good fit for: Individuals with a blend of software engineering and machine learning knowledge, a passion for automation, and a detail-oriented approach to problem-solving often thrive in this position.