Software Engineer

Optimus Technology, Inc.

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Proficient in Java, Scala, and Python
  • Knowledgeable in Lucene, JEXL, SQL, and JSON
  • Experienced with Random Forest and feature development
  • Skilled in Machine Learning model building and monitoring
  • Familiar with Linux operating systems
  • Utilizes tools like Jupyter Notebooks and Git/Gitlab
  • Understanding of agency compliance standards and corporate systems

Responsibilities

  • Develop and enhance compliance analytics and business processing tools
  • Automate compliance functions and improve existing automation methods
  • Investigate and integrate Machine Learning/AI algorithms for compliance
  • Research and create proof-of-concepts within the RD environment
  • Build models and establish monitoring metrics for tools and data flows

Benefits

  • Opportunity to work with cutting-edge AI and Machine Learning technologies
  • Exposure to compliance modernization projects
  • Collaborative environment with experienced professionals
  • Access to the latest tools in data science and analytics
  • Ability to contribute to significant compliance improvements within the agency
Full Job Description
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.

Task Order Required Skills:
  • 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
Task Order Desired Skills:
  • 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

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