Machine Learning Operations Engineer

Machine Learning Operations Engineer

Req ID: 141609

Location: Irvine, California

Division: School of Medicine

Department: DOM Infectious Diseases

Position Type: Full Time

Salary Range Minimum: USD $97,000.00/Yr.

Salary Range Maximum: USD $182,200.00/Yr.

Who We Are

Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation's top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It's located in one of the world's safest and most economically vibrant communities and is Orange County's second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide.

To learn more about UC Irvine, visit www.uci.edu.

Your Role on the Team

Under the direction of the Principal Investigator, the Machine Learning Operations Engineer supports the research efforts of several regional projects.

Key responsibilities include duties related to setup, administration, system hardening, and orchestration of the laboratory's on-premises and cloud-based Linux servers. Development and testing of machine learning (ML) analyses and statistical models, including pipelines incorporating large language models and dependent on CUDA and similar technologies, in the Python and R programming languages.

Additional responsibilities include packaging of analyses and software into publishable research products, including Jupyter notebooks, Python/R packages, and Docker containers. Deployment of informatics pipelines utilizing ML models into production environments, where they can support both research and operational activities at UCI Health. Development of testing and monitoring harnesses for these pipelines, which may include regression tests and dashboards for key performance metrics. Maintenance and debugging of ML pipelines across the full stack, from the hardware and virtualization layers up through user interface components. Coordination and engagement in collaborative scientific and technical writing, including creating training and educational documents, data collection tools, recruitment or protocol scripts, IRB materials, scientific manuscripts, and components of grant proposals. Supervision and support of lab members and students in the course of their work on the laboratory's server infrastructure.

What It Takes to be Successful

Required:

• Clear and professional communication skills; verbal and written
• Ability to analyze a problem from inception to completion and provide suggested solutions.
• Effective and professional interpersonal skills
• Highly attentive to proper handling of confidential information and documents
• Ability to maintain accurate database files
• Ability to function well in a team environment
• Experience deploying, administering, and securing Linux-based servers in on-premises and/or cloud environments.
• Bachelor's degree in related area and / or equivalent experience / training
• Minimum of 2-3 years of experience.
• Prior research experience with demonstrated independent responsibilities and activities

Preferred:

• Experience working in laboratory