Principal ML Ops Architect chez ARUP Laboratories

Schedule:
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM

Department:  R&I Appl AI & Bioinform - 339

Primary Purpose:

The Principal ML Ops Architect is a recognized leader in Machine Learning Operations (ML Ops), responsible for establishing the long-term strategic direction for the organization's ML infrastructure and its technical implementation.  This role requires defining technical strategy, designing resilient, secure, scalable systems, and implementing them in accordance with modern best practices. This role has broad and deep expertise across all facets of the ML Ops lifecycle and is responsible for designing and implementing systems that enable the organization to leverage AI at scale.     

About ARUP:

ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.

ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development.  Our workforce is committed to the important service we provide to over one million patients each month.  We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.

We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence.  Consider joining our dynamic team.

Essential Functions:

Designs and improves systems for training, evaluating, deploying, and monitoring machine learning models in production across the organization. 

Stays current with modern ML Ops best practices through review of technical literature, scientific articles, whitepapers, conferences, and related material. 

Sets technical standards and best practices for production ML systems. 

Acts as a technical authority and mentor for MLOps, ML, and Data Engineering teams. 

Works with leadership to define the MLOps technology roadmap and long-term strategy and guides teams to work toward those long-term goals.

Communicate with data science, engineering, IT, and medical director teams to understand requirements, constraints, and operational workflows.

Responsible for all aspects of the model development lifecycle (training, deployment, monitoring, re-training, etc.) at an architectural level. 

Reviews work of junior team members and helps to improve their work quality through constructive feedback.

Evaluates and selects technologies that will support the organization's future growth and AI initiatives. 

Other duties as assigned.

Physical Requirements:

Stooping: Bending body downward and forward by bending spine at the waist.

Reaching: Extending hand(s) and arm(s) in any direction.

Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.

Communicate: Frequently communicate with others.

PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies. 

ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.

Light Work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently and/or a negligible amount of force constantly to move objects.  

Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.

Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.