Senior Software Engineer with Security Clearance
GRVTY Laurel
What You'll be Owning GRVTY is seeking a Senior Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Laurel, MD. The Senior Software Engineer shall develop, enhance, and prototype compliance and business processing analytics and tools.
-of-concepts in the RD environment.
The Engineer will also develop new methods for automating compliance functions and improve existing methods.
Additional responsibilities include investigating, integrating, and testing compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment.
The Engineer will also develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
Telework: Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed.
What You Must Have- Active TS/SCI with Polygraph Clearance
- 14-20 years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required
- Bachelor's degree in Computer Science or related discipline from an accredited college or university is required; 4 years of additional SWE experience may be substituted for a 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
- 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 What Would be Nice to Have
- 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 #LI-BPJ
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