AI Engineer (Part Time/On Call)

Overview

Job Title: AI Engineer

Location: Arnold AFB, TN

Job Family Code: Digital Enterprise

Function/Branch: Engineering /Digital Enterprise

Directorate: Eng Tech & Support

Position Type: Casual (Part Time/On Call)                                       

Pay Type: Non-Exempt

Grade (provided by HR): T06 (OA0643)

 

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Overview

Beyond New Horizons, LLC (BNH) has an exciting opportunity for an AI Engineer – Part Time/On Call, supporting TOS II, at Arnold Air Force Base, TN. As an AI Engineer – Part Time/On Call, you will be working as a member of the Digital Enterprise group (DE) in the Mission Support Branch to lead implementation of data-centered projects to improve the AEDC ground test data infrastructure, facility operations, and business systems. The person selected for this role will work closely with multidisciplinary work teams throughout the Beyond New Horizons (BNH) organization to identify opportunities for leveraging data to drive decisions and will help design and implement a data architecture working with the Digital Enterprise team.  

 

Open to internal and external candidates.

 

Job Summary

Beyond New Horizons, LLC (BNH) is the team selected by the U.S. Air Force to conduct Test and Operations Sustainment at the Arnold Engineering Development Complex (AEDC) at Arnold Air Force Base in Tennessee.  AEDC operates more than 55 aerodynamic and propulsion wind tunnels, rocket and turbine engine test cells, space environmental chambers, arc heaters, ballistic ranges and other specialized units located in six states. Many of the complex's test units have capabilities unmatched elsewhere in the United States; some are unique in the world. AEDC is one of three installations which are part of the Air Force Test Center (AFTC), one of six subordinate commands of the Air Force Materiel Command organization, and an important national resource.

 

AEDC’s mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, and ground and flight test.  Execution of the mission requires a large team of highly qualified and dedicated professionals from multiple technical disciplines to effectively accomplish the objectives of our test customers.

      

Job Duties:

• Development and implement artificial intelligence (AI) strategies and programs.
• Utilize test data sources to optimize data analytics at AEDC and suggest ways which insights obtained might be used to inform testing sustainment and operational strategies.
• Automate manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Utilize machine learning tools to select features, create, and optimize classifiers.
• Evaluate and guide AI solutions proposed to the AI Operating Committee, ensuring compliance with governance standards.
• Identify and assess the effectiveness of data engineering, data sources and data gathering techniques.
• Participate in AI proof-of-concept projects and experiments to explore new applications and technologies.
• Coordinate with different multidisciplinary teams to implement models and monitor outcomes.
• Define & develop processes and tools to monitor and analyze model performance and data accuracy.
• Identify and complete projects associated to data-engineering.

• It is a condition of employment to wear PPE (Personal Protective Equipment) in accordance with supervisory direction and company policy.
• Perform other duties as required.

 

Basic Qualifications:

• BS degree in Computer Engineering, Science, or Information Systems and 0-3 years of relevant experience or any equivalent combination of relevant education and progressive and relevant experience.
• Current U. S. Citizenship required.

Preferred Qualifications

• Master’s in Computer Science, Statistics, Mathematics, Physics, Engineering or another relevant engineering field from an accredited university program.
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with development lifecycle methodologies such as Agile DevSecOps. 
• Experience with data scripting language software like Python, Java, C++,