Senior Software Engineer, IS-02/03-0046

Cyber B.A.T. Inc•Laurel, MD

About The Position

Cyber B.A.T. is seeking a Senior Software Engineer to design, develop, and enhance software solutions that support compliance analytics and business processing. In this role, you will create innovative tools to automate compliance functions, optimize existing processes, and improve operational efficiency.

Requirements

Active TS/SCI Clearance with a current Maryland Polygraph
Bachelor's degree in Computer Science or a related technical discipline
Minimum of 14 years of experience as a Software Engineer on programs of similar scope, type, and complexity
Four (4) additional years of directly related software engineering experience may be substituted in lieu of a bachelor’s degree
Experience with Python
Experience with GM Learn
Exploratory Data Analysis (EDA)
Experience with Jira
Experience with Confluence
Experience developing in a Linux operating environment
Strong technical leadership, communication, and mentoring capabilities
Experience with Java and Scala
Experience with Lucene, JEXL, SQL, JSON
Random Forest and ability to do feature development for Random Forest
Experience with Machine Learning Model building and monitoring
Experience with Ghostmachine (Map/Reduce)
Experience with Jupyter Notebooks
Experience with IntelliJ and/or Eclipse
Experience with Git/Gitlab and/or Stash/Bitbucket
Experience with Scikit-learn
Agency Compliance standards, policies, and authorities
Experience with Agency corporate systems
Experience with documentation and reviewing documentation

Nice To Haves

Data Science skills/background
Experience with AWS
Experience implementing ML systems
Experience with Spark
Agentic AI
Large Language Models (LLM)
Machine Learning Feature Development
Other Machine Learning models and techniques
Love solving difficult technical challenges
Enjoy collaborating and sharing knowledge
Like working where your voice actually matters
Appreciate a culture that celebrates wins and supports growth

Responsibilities

Research, integrate, and evaluate Machine Learning (ML) and Artificial Intelligence (AI) technologies to modernize compliance capabilities, developing and validating proof-of-concepts in a research and development environment.
Build analytical models, implement performance metrics, and establish monitoring solutions to ensure the reliability and effectiveness of developed applications, functions, and data workflows.