To be considered, a cover letter and resume are required.  The cover letter must be the leading page of your resume and should:

• Specifically outline the reasons for your interest in the position and
• Outline your particular skills and experience that directly relate to this position.
• List your current and previous positions and/or projects relevant to this job posting

Starting salaries will vary depending upon the qualifications and experience of the selected candidate.

Are you wicked smart?  Are you a leader that enjoys being responsible for the deployment and management of machine learning (ML) modes?  Does the standardization, automation, and monitoring of models make you giddy like when you were a kid at the toy store?  Do we ever have a position for you!  We are in search of a MLOps Team Lead to join our Machine Learning Operations team. This leader will provide the vision, expertise, and leadership needed to guide our MLOps in the development of tools to deploy AI models for testing in our clinical setting. Our team works with real-time analytics that combine sophisticated multi-modal data and cutting-edge machine learning models. 

This position offers a unique opportunity in the areas of data science and analytics at Precision Health at the University of Michigan. Our research requires a real-time analytics platform for developing and translating advanced data science into digital health solutions. Our MLOps team is responsible for developing the systems needed to host and monitor AI modes developed by our researchers. 

We are looking for an ambitious, talented, and self-motivated individual with an interest in solving problems with as much automation as possible? if there is a way to make our lives easier by leveraging technology, we'll spend a week building a tool to complete repetitive actions rather than manually doing the same task over and over. Therefore, the candidate is expected to be a dynamic problem solver who is not afraid of learning new languages and skills in order to get the job done. 

This role requires active collaboration with researchers, clinicians and IT leadership. As part of this collaboration, the team members on our MLOps team own the requirements gathering for each of their projects, ensuring that they know exactly what "done" looks like before our projects begin. 

All members of our MLOps team possess working knowledge of our infrastructure, and the security required to protect our PHI data.  This is truly a jack of all trades position.  We operate like a startup by having a "let's figure out how to do this" mentality as we develop unique technical solutions. 

Additional responsibilities include:

• Building a shared vision for the MLOps Team and inspiring the team to action consistent with this vision
• Strategizing, prioritizing, and communicating initiatives for the MLOps team
• Develop and maintain a program for organizational learning and sharing of experiences
• Analyze short- and long-term resource needs 
• Communicate clearly and consult with our multi-disciplinary team of researchers, faculty,, and clinicians. 
• Analyze and resolve issues that have the potential to jeopardize performance and/or ability to meet agreed upon deliverables 
• Determine and document requirements
• Estimate and adjust stories and sprints  
• Investigate new technologies and share with the team

• B.S. Degree in Engineering, Computer Science, Applied Mathematics, Statistics, or Data Analytics with 12+ years of experience .
• Proficiency using relevant tools (Python,Java, MATLAB, SQL Server, MySQL, Docker)
• Experience with ML concepts (supervised learning and deep learning)
• Expertise of commonly used computer science concepts such as unit testing, git, and multiprocessing/threading.
• Linux and command line interface familiarity
• Cloud services experience (Azure ML Studio preferred)
• Statistics knowledge specific to clinical prediction models
• Research experience using High Performance Computing environments
• Ability to manage multiple projects and team members with a focus on accountability and results
• Willingness to learn and quickly adjust to new tools and systems
• Capable of converting ambiguous problem statements into concrete project requirements
• Excellent verbal and written communication skills including the ability to communicate effectively and professionally with colleagues and stakeholders. Ability to understand and explain technical concepts to non-technical stakeholders
• Experience with Machine Learning and commonly used data science packages including numpy, pandas, and scikit-learn

• Clarity Proficiency/Certificate
• Experience with Kubernetes

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

The University of Michigan is an equal opportunity/affirmative action employer.

About University of Michigan - Ann Arbor

A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.

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