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AI/ML Operations Engineer

We Are:
Fermilab is America’s premier laboratory for particle physics and accelerator research, funded by the U.S. Department of Energy.  We support discovery science experiments in Illinois and at locations around the world, including deep underground mines in South Dakota and Canada, mountaintops in Arizona and Chile, and the South Pole.

We are strategic risk takers, innovators, and collaborators. We are engineers, scientists, technicians, administrative professionals. We are 1,800 employees advancing knowledge for the benefit of humankind. Fermilab has been at the forefront of particle physics for more than 40 years. We build world-leading accelerators and detectors to conduct some of the most advanced particle physics experiments possible. We collect and analyze the data from those experiments with some of the most powerful computers in the world. We conduct this research on a 6,800-acre prairie, 35 miles outside Chicago, a treasure that has been designated a National Environmental Research Park.

Open Date:  June 24, 2022
Close Date:  July 11, 2022   

Fermilab's Accelerator Division operates, maintains, and improves the laboratory's accelerator complex, beam lines and beam targets. We drive scientific discovery by delivering particle beams for experiments. We also conduct accelerator physics research and design and build accelerators to extend the scientific reach of existing facilities.

The Accelerator Division seeks an AI/ML Operations Engineer to implement Machine Learning Operations (MLOps) best practices. The Division has a collection of teams researching and developing AI/ML models to enhance the performance of Fermilab’s particle accelerators. The individual will implement an MLOps workflow for data and models to ensure verification, validation, assurance, and trust during model development, deployment, and monitoring. 
The appointment will be for a one-year term with the potential of an extension thereafter.

You will:

  • Develop applications and interfaces for enabling safe, reproducible, and reliable AI/ML algorithms for particle accelerator controls (MLOps). 
  • Engage scientific, engineering, and IT professionals by providing expertise in the application of AI/ML to Laboratory projects.
  • Perform work and duties in an Agile team environment and report on progress regularly.
  • Diagnose, monitor, and analyze the performance of AI/ML systems and services.
  • Participate in design discussions and provide technical expertise to address problems of AI/ML architecture, design, and implementation
  • Evaluate existing purpose-built AI/ML model management solutions.
  • Abide by and be responsible for performing all duties in accordance with all environmental, health and safety regulations and practices pertinent to this position. 
  • Contribute effectively within a diverse workforce and uphold Fermilab’s commitment to equity, diversity, and inclusion.

We are looking for:

  • Bachelor’s or Master’s Degree preferred in Analytics, Data Science and Engineering, Computer Science, or other applicable discipline
  • Experience with GitHub, Linux, Python, Machine Learning
  • Experience with unit tests, integration tests, clean code principles (CI/CD)
  • Experience with Keras/TensorFlow and/or PyTorch desired
  • Experience with MLOps desired
Physical Activity and Work Conditions 
Human Factors: Mental Concentration, Sitting, Standing, Tight Work Schedule, Repetitive Motion, Visually Demanding 
FRA encourages all employees to be fully vaccinated and boosted to prevent transmission of COVID-19 and to mitigate against severe illness from infection. Upon employment with FRA, all employees must state their vaccination status. Please note that all vaccination and testing requirements are subject to change. Testing of unvaccinated employees may be required for Fermilab site access, depending on community transmission levels.

Fermilab is an Equal Opportunity Employer and believes a diverse and inclusive environment based on mutual respect is essential to our mission. Fermilab is committed to recruiting and developing the most hardworking people and does not discriminate in employment on the basis of race, ethnicity, color, religion, age, sex, gender identity or expression, sexual orientation, military/veteran status, country of birth, geography/postal code, disability, marital status, parental or gestational status, or other non-merit factor.