Cleared Machine Learning Software Engineer

Bestgate Engineering•Laurel, MD

About The Position

Join a team developing next-generation compliance automation and business processing analytics solutions supporting mission-critical government operations. In this role, you will design, develop, enhance, and prototype advanced analytics tools while leveraging Machine Learning and AI to modernize compliance functions. You will research, integrate, test, and deploy proof-of-concept solutions, develop machine learning models, automate data processing workflows, and implement metrics and monitoring to ensure reliable performance across applications and data flows.

Requirements

14+ years of software engineering experience supporting programs of similar scope, type, and complexity.
Experience developing applications with Python, Java, and Scala in Linux environments.
Experience with machine learning model development, monitoring, Random Forest, feature engineering, and Scikit-learn.
Experience with exploratory data analysis (EDA), SQL, JSON, Lucene, JEXL, Ghostmachine (Map/Reduce), and Jupyter Notebooks.
Experience using Git/GitLab or Bitbucket/Stash, IntelliJ or Eclipse, Jira, Confluence, and GM Learn.
Familiarity with Agency compliance standards, corporate systems, and producing technical documentation.
Required Security Clearance: TS/SCI w/Poly

Nice To Haves

Experience with AWS, Apache Spark, and production machine learning implementations.
Background in Data Science, Agentic AI, Large Language Models (LLMs), or advanced machine learning techniques.

Responsibilities

Design, develop, enhance, and prototype advanced analytics tools leveraging Machine Learning and AI.
Research, integrate, test, and deploy proof-of-concept solutions.
Develop machine learning models.
Automate data processing workflows.
Implement metrics and monitoring to ensure reliable performance across applications and data flows.