Associate Director - Machine Learning, AI, Computational Modeling

Department: Biological & Nano Scale
Location: Dayton, OH

UES, inc. has developed capabilities in modeling and simulation, computational automation, autonomy, Machine Learning (ML), Artificial Intelligence (AI), software development, and a variety of disciplines in software engineering. As these areas continue to be a focal point for our business growth, we are seeking an experienced technical leader for an Associate Director role.

You will be responsible for working across divisions by harnessing our current expertise in these computational areas to further develop this business line by identifying, evaluating, and adding new programs and products across these disciplines.  The growth of this line of business is expected to lead to establishing a new division to UES, Inc.

The Associate Director role will require someone that is well-versed in either modeling and simulation, computational automation, autonomy, ML/AI, or software development, with a working knowledge (or a strong curiosity to learn) in a Scientific and/or Engineering discipline such as Aerospace, Materials, Mechanical & Electrical Science, Physics or Biological Sciences. This will require an individual with experience in breaking down technical requirements, technical management, mentoring (leading technical teams), and an interest in identifying and developing training tools to assist others. Experience working on collaborative software projects is preferred, including the utilization of revision control and collaboration tools.

Requirements:

 

Additional Information

UES, Inc. is an innovative science and technology company providing customers with superior research and development expertise since its inception in 1973. Our long-term success is a direct result of a strong commitment to the success of our employees.  We look forward to reviewing your application.

UES, Inc. is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for most positions.

 

 
 

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