SWE3/SWE2 - Python, Linux
$150,000–$250,000 year
On-siteLaurel, Maryland, United States
Job Summary
Develop compliance and business processing analytics tools by automating functions and integrating Machine Learning/AI algorithms in the RD environment. Investigate, test, and monitor models using Python, Java, Scala, and Scikit-learn, while implementing feature development for Random Forest and Agentic AI systems. Build and deploy solutions on Linux and AWS, leveraging Spark, Lucene, and Jupyter Notebooks to process data flows and optimize metrics. Manage documentation and project tracking via Jira, Confluence, and Git repositories while adhering to Agency Compliance standards. Requires an active TS/SCI with polygraph, BS plus 20 years for SWE3 or 14 for SWE2, and compensation ranging from $150K to $250K.
Required Qualifications
- 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
- An active TS/SCI with polygraph
- SWE3 = BS + 20 years experience
- SWE2 = BS + 14 years experience
Desired Qualifications
- 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
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