Software Engineer 3 - (Python, Machine Learning, Random Forest)

Akina•Annapolis Junction, MD

15h•Onsite

About The Position

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

Requirements

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.
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
TS/SCI Clearance
Polygraph required

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.