SWE3/SWE2 - Python, Linux
$150,000–$250,000 year
On-siteLaurel, Maryland, United States
Laurel, Maryland, United StatesOn-siteContract$150,000–$250,000 year
Contract
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 within a Linux operating environment. Implement feature development for Random Forest and other ML techniques while managing data flows with Jupyter Notebooks and Ghostmachine. This role requires an active TS/SCI with polygraph and experience with Agency corporate systems. Compensation ranges from $150K to $250K based on experience and skills.
Required Qualifications
- An active TS/SCI with polygraph
- SWE3 = BS + 20 years experience
- SWE2 = BS + 14 years experience
- 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
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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