AI / ML Platforms Administrator - 135958

DEPARTMENT OVERVIEW:

UC San Diego is ranked the 9th best public university in the nation by U.S. News and World Report and is the largest employer based in San Diego County.

Reporting to the VC-CFO, Information Technology Services (ITS) delivers Enterprise information technology services to the University of California, San Diego (UCSD) under the leadership of the campus Chief Information Officer (CIO). Information Technology Services (IT Services) uses world-class services and technologies to empower UC San Diego's mission to transform California and the world as a student-centered, research-focused, service-oriented public university. As a strategic member of the UC San Diego community, IT Services embraces innovation in their delivery of IT services, infrastructure, applications, and support. IT Services is customer-focused and committed to collaboration, continuous improvement, and accountability.

Equity, Diversity, and Inclusion are core values at UC San Diego and within Information Technology Services. Crafting a culture around these values allows us to more deeply connect with and appreciate our employees, students, and campus partners. Information Technology Services is continuously working to build a community where we all feel safe, empowered, and encouraged to bring our authentic selves to work. We do this not only because it is what's right, but because we know that diversity drives insight and innovation. We are proud to partner closely UC San Diego's Office for Equity, Diversity, and Inclusion, as their dedication to this mission helps us all to drive change.

With broad impact across UCSD's multi-billion-dollar research and education enterprise, Academic Technology Services (ATS) provides a variety of digital technology services to faculty, research staff, postdocs, graduate and undergraduate students, including all academic departments, schools and divisions. ATS coordinates across campus IT providers (including ITS, SDSC, Calit2, the Library), the Schools, Divisions, Departments and labs, Academic Affairs (including The Commons), the Office of Research and Innovation (including Contract and Grant Administration, Post-Award Financial Services, and Research Compliance), and other critical stakeholders to deliver coordinated services critical to all aspects of the research enterprise.

Educational Infrastructure Systems (EIS), a subdivision of Academic Technology Services, provides technology services, support, and resources to the UC San Diego academic community, facilitating teaching and learning in service of the University's educational mission. Our efforts are grounded in a commitment to quality, collaboration, customer focus, innovation, and the importance of providing inclusive, accessible, and safe physical and virtual spaces which enhance the educational experience for our diverse campus community.

POSITION OVERVIEW:

Under the general direction of the Director of ITS/Educational Infrastructure Services (EIS), with input from and in close coordination with IT Services' AI and Data Science/Machine Learning Platform (DSMLP) service owners, architects, and development/operations teams, this position is responsible for managing IT Services' AI/Machine Learning applications (e.g. "TritonGPT") and infrastructure within DSMLP and other ITS platforms, including planning, deployment, configuration, operations, monitoring, tuning, and problem resolution/debugging.

This position's duties span the full technology stack: application and library deployment; operating systems installation and patching; database configuration and tuning; Kubernetes and container operations; networking and storage design and management; and occasional integration and middle-ware programming in languages such as Python or Bash/shell.

RESPONSIBILITIES:

* Administration, enhancement, operational, and technical support of UC San Diego's suite of AI assistants, collectively known as TritonGPT.

* Linux operating systems installation and patching, database configuration and performance tuning, and networking/storage design and management of infrastructure supporting artificial intelligence and machine learning services.

* Kubernetes cluster configuration and administration for the automated deployment, scaling, and management of containerized applications.

* Coding and integration of middleware software utilizing common programming/scripting languages.

* Technical leadership through participation in strategic planning and by driving innovation.

• Bachelor's degree in related area and / or equivalent experience / training.

• Advanced knowledge of Linux/UNIX operating systems and programming environments, including software installations, automation, troubleshooting, security, make files, scripting tools, and revision control.

• Advanced knowledge in container orchestration, including designing and implementing Kubernetes clusters, container networking, security, system and application workloads deployments.

• Advanced skills creating, building and debugging container images, and solid knowledge of internal architecture of container execution platforms such as Docker and CRI.

• Knowledge of and experience configuring, using, and developing against Machine Learning frameworks (PyTorch, Tensorflow) and diverse neural network architectures (e.g., Deep/multilayer), for production training, fine tuning, and inference workloads.

• Experience with moderately complex multi-platform troubleshooting in a multi-platform environment. Ability to locate and understand logs in a multi-platform environment, within managed interfaces such as Splunk as well as through native Unix command line tools.

• Experience building, maintaining, and debugging integrations, middleware and small applications written in Python, Bash/shell, and other scripted languages.

• Experience designing and operating continuous integration / continuous deployment (CI/CD) pipelines as well as traditional software deployment regimes.

• Advanced knowledge of computer security best practices and policies including demonstrated experience securing server-based software.

• Job offer is contingent upon satisfactory clearance based on background check results.

• Employee must be available to work evenings and weekends.

• Employee must be available to travel as required.

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination

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