Cleared Machine Learning Software EngineerJoin 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.
Required: - 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.
- Bachelor's degree in Computer Science, Information Technology, or a closely related field is preferred. In lieu of a degree, a minimum of 4 years of relevant work experience in engineering will be considered.
- Required Security Clearance: TS/SCI w/Poly
Desired:- 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.
