Expert Software Engineer (Research & ML Model Development)

• Posted 2 days ago • Updated 7 hours ago
Full Time
USD $250,000.00 - 270,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Security Clearance
  • FOCUS
  • FSA
  • Insurance
  • Training
  • Finance
  • Legal
  • Analytics
  • Algorithms
  • Research
  • Data Flow
  • Computer Science
  • Software Engineering
  • Java
  • Scala
  • Python
  • Apache Lucene
  • SQL
  • JSON
  • Linux
  • MapReduce
  • Jupyter
  • IntelliJ IDEA
  • JetBrains
  • Eclipse
  • Git
  • GitLab
  • Bitbucket
  • JIRA
  • Confluence
  • scikit-learn
  • Regulatory Compliance
  • Documentation
  • Data Science
  • Amazon Web Services
  • Apache Spark
  • Data Analysis
  • EDA
  • Artificial Intelligence
  • Large Language Models (LLMs)
  • Machine Learning (ML)

Summary

  • Location: Annapolis Junction
  • Type: Contract
  • Job #4007

Title: Expert Software Engineer (Research & ML Model Development)
Location: Annapolis Junction, MD
Compensation Range: $250 - $270K
*Clearance: *Active TS/SCI w/ Polygraph needed to apply *

Company Overview:
Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.

Benefits Overview:
Cornerstone Defense offers a very comprehensive benefits package including, but not limited to: Medical, Dental and Vision Plans * Generous PTO Policy * 401(k) * HSA and FSA options * Life and Disability Insurance * Tuition Reimbursement and Training * Perks at Work Discount Program * Referral Program * Leads Generation Program * CollegeAmerica 529 * Fitness Reimbursement Program * Travel Assistance * Norton Lifelock Benefit Solutions * Life Planning Financial & Legal Services *

Position Description:
The Software Engineer 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. They will develop models and implement appropriate metrics and monitoring of developed tools, functions, and data flows.

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.

Position 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

Position 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90751604
  • Position Id: 32384b31d4a73fb52d125bd2dba1c476
  • Posted 2 days ago
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