Software Engineer II/III

Reflexive ConceptsLaurel, MD

About The Position

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.

Requirements

  • 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
  • Experience with Java, Scala, and Python
  • 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 developing in a Linux operating environment
  • Experience with Ghostmachine (Map/Reduce)
  • Experience with GM Learn
  • Experience with Jupyter Notebooks
  • Experience with IntelliJ and/or Eclipse
  • Experience with Git/Gitlab and/or Stash/Bitbucket
  • Experience with Jira
  • Experience with Confluence
  • Experience with Scikit-learn
  • Agency Compliance standards, policies, and authorities
  • Experience with Agency corporate systems
  • Experience with documentation and reviewing documentation

Nice To Haves

  • Data Science skills/background
  • Experience with AWS
  • Experience implementing ML systems
  • Experience with Spark
  • Exploratory Data Analysis (EDA)
  • Agentic AI
  • Large Language Models (LLM)
  • Machine Learning Feature Development
  • Other Machine Learning models and techniques

Responsibilities

  • Develop, enhance, and prototype compliance and business processing analytics and tools.
  • Develop new methods for automating compliance functions and improve existing methods.
  • Investigate, integrate, and test compliance modernization Machine Learning/AI algorithms.
  • Research proof-of-concepts in the RD environment.
  • Develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.
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