Configuration Management Specialist

Overview

As the Configuration Management Specialist working for Hepburn and Sons LLC, you will maintain technical and engineering support in the systems engineering, integration, development, maintenance, documentation, and operation of Training Tools​. 

This is a contingent position based on award/funding from the customer.

Working at Hepburn and Sons LLC

Working at Hepburn means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of today. We honor handshakes as rigorously as contracts. We keep trust at the forefront of every decision we make and customer we serve! We believe there is no greater principle in business than that of building a solid foundation of trust. We hold one another to the highest levels of integrity and ethics. We cherish every opportunity given to us by our clients. We believe in collaboration, mutual respect, open communication, and opportunity for growth.

Responsibilities

• Provides schedules, technical, engineering, and analytical services in support of systems engineering, integration, V&V, and documentation of operator training including CAST Lessons, and other Interactive Courseware (ICW) 

• Provides configuration management of Training exercise scenarios and provide a written report 

• Participates in meetings for CAST Lesson, Aegis Configuration Management Board (ACMB), ACTS and AEGIS Configuration Review Board (CRB) 

Qualifications

Education:​​

• Bachelor's degree in a related field ​ 

• ​​Secret Clearance (Ability to obtain TS/SCI)​ 

Required Skills/Abilities:  

• Experience in supporting technical documentation, baseline and change configuration items

• Experience in maintaining data and information, and audit results
• Experience with assisting in developing and implementing configuration management procedures  

• Experience maintaining configuration control database, maintaining project schedules, analyzing configuration issues and development recommendations for improvement 

• Shall have basic understanding of AI Machine Learning (ML), Deep Learning (DL), and Large Language Model (LLM) fundamentals
• Experience in sourcing, cleaning, labeling, and organizing vast amounts of data used to train AI models and ensure products from AI models function correctly, reliably, and ethically, including checking for accuracy, bias, robustness, and compliance