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Foundation Model DevOps Engineer - AI Research Infrastructure

ifm-usSunnyvale, CA
On-site Full-time

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Experience Level

Experience

Qualifications

Qualifications:Proven experience in DevOps practices, particularly in AI or machine learning environments. Strong understanding of CI/CD pipelines and related tools. Experience with Git and repository management. Proficiency in scripting languages (Python, Bash, etc.). Familiarity with cloud platforms and services. Excellent problem-solving abilities and attention to detail.

About the job

About the Institute of Foundation Models 
At the Institute of Foundation Models, we are on a mission to innovate and enhance the development of foundation models. Our research lab is committed to advancing AI through understanding, utilization, and effective risk management of these models. We aim to empower the next generation of AI developers and contribute significantly to a knowledge-driven economy.
Joining our team means you will work at the forefront of foundation model training, collaborating with elite researchers, data scientists, and engineers. You will tackle pivotal challenges in AI development and contribute to the creation of revolutionary AI solutions that could transform various industries. Your strategic and innovative problem-solving skills will play a key role in establishing MBZUAI as a global leader in high-performance computing for deep learning, fostering impactful discoveries that will inspire future AI visionaries.

The Role 
We are in search of a Foundation Model DevOps Engineer who will focus on Operational Stability to support our AI research infrastructure.
You will be responsible for creating an efficient environment that facilitates model development. Your role involves building tooling, release pipelines, and storage policies that alleviate burdens on our research team. You will manage the foundational layer, ensuring that researchers have immediate, secure, and reliable access to essential tools, data, and computational resources.

Key Responsibilities 

Model Release Engineering 
High-Fidelity Release Management: You will uphold the standards of our public presence, ensuring that all releases (weights, code, training logs, data) are reproducible, comprehensively documented, and presented with the professionalism of a leading open-source product.
CI/CD for Research: You will design and implement pipelines that automate the testing and packaging of intricate model releases, transitioning us from manual procedures to automated validation.
Repo Administration: You will administer the organization’s Git repositories, ensuring optimal performance and accessibility.

About ifm-us

The Institute of Foundation Models is a pioneering research lab dedicated to the advancement and practical application of foundation models in AI. We focus on nurturing talent and driving innovation that contributes to a robust knowledge economy.

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