Cleared Machine Learning Software Engineer
Build and deploy AI-driven compliance automation tools for government clients using Python, ML models, and cloud-native tech in a secure environment.
- Compensation
- Not disclosed
- Location
- Laurel, MD
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 4+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 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 con
- Required Security Clearance: TS/SCI w/Poly
Nice to have
- 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.
Full description
Cleared Machine Learning Software Engineer
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.
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/PolyDesired:
- 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.
*Salary Range: $ 180,000 - $230,000
*The provided salary range is an approximation based on current market data and may vary. The final offer will be determined after carefully considering the candidate’s skills, experience, and qualifications as they relate to the position. This range is intended as a reference point and is subject to change.Bestgate Engineering is a leading software and systems engineering firm supporting military and government customers.
We are currently hiring Cleared Software Developers, CNO Engineers, Systems Engineers, DevOps Engineers, and Security Engineers.
At Bestgate, you'll work alongside some of the industry's most experienced software and systems engineers, tackling mission-critical challenges across cloud-native technologies, software modernization, embedded systems, data science, DevSecOps, and more. We believe exceptional people deserve exceptional support, which is why we offer a competitive benefits package focused on your well-being, career development, and work-life balance, including: