Reflexive Concepts is seeking a skilled Software Engineer II/III to join our team!
Candidate shall develop, enhance, and prototype compliance and business processing analytics and tools. Develop new methods for automating compliance functions and improve existing methods. Candidate will investigate, integrate, and test compliance modernization Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. Candidate will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
This position is a flexible labor category and may be filled at the Software Engineer II or Software Engineer III level.
Qualifications
- Active TS/SCI w/ Full Scope Polygraph
- Software Engineer II: Fourteen (14) years experience as a SWE, in programs and contracts of similar scope, type, and complexity, OR
- Software Engineer III: Twenty (20) years experience as a SWE, in programs and contracts of similar scope, type, and complexity
- Bachelor’s degree in Computer Science or related discipline from an accredited college or university
- Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree
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 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 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
