Enterprise - Software Engineer - Python, Data, GM

Enterprise
- Software Engineer
- Python, Data, GM

• Laurel, MD

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value
creative problem-solving
, open communication
, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong
and
growth-oriented
company focused on bringing innovative solutions to the difficult mission problems facing our customers.

We are seeking a Software Engineer who 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.

A current Top-Secret/SCIwith polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Fourteen plus (14+) 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 plus (4+) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.

• Experience with Python
• Experience with GM Learn
• Exploratory Data Analysis (EDA)
• Experience with Jira
• Experience with Confluence
• Experience developing in a Linux operating environment
• 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 Ghost machine (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

• 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

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $225,000 - $280,000.

• Above Market Hourly Pay
• 11% Roth
  or
  Traditional 401k
  with Immediate Vesting and Deposit
• Spot Bonuses
  for Assisting with Business Development and Company Growth
• Professional Development Bonuses
  for Certificates and Degrees

• Company subsidized
  Medical
  Coverage
• 100%Company Paid
  Vision
  and
  Dental
  Coverage
• 100%Company Paid
  Long Term Disability
  ,
  Short Term Disability
  , and
  Group Life Insurance
• Monthly
  Wellness Reimbursement

• Paid Time Off
  with
  Flexible Work
  Schedules and
  Birthday Off
• Amazon Prime Membership
  and Monthly
  Internet
  Reimbursement
• Technology
  and
  Productivity Allowance
  for Equipment and Supplies
• Morale Building
  and
  Company Events
  to Celebrate our Successes and Build our Community
• Onboarding and Annual
  Swag
• Company Paid Professional Development
  and
  Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.