Description

Active TS/SCI w/ Polygraph required.

Must Have Skills:
- Experience with Python
- Experience with GM Learn
- Exploratory Data Analysis (EDA)
- Experience with Jira
- Experience with Confluence
- Experience developing in a Linux operating environment

Required Skills:
- 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 Map/Reduce)

- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/Gitlab and/or Stash/Bitbucket
- Experience with Scikit-learn
- Experience with documentation and reviewing documentation

Desired Skills:
- 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

SWE-3 LCAT Qualifications:
Twenty (20) years 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. Four (4) years of additional SWE experience on
projects with similar software processes may be substituted for a bachelor's degree.

SWE-2 LCAT Qualifications:
Fourteen (14) years 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. Four (4) years of additional SWE experience on
projects with similar software processes may be substituted for a bachelor's degree.