Enterprise - Data Science Software Engineer - Python, ML, AI 06-04-2026 Laurel, MD Branch MD - SHA

Erias Ventures, LLC; Laurel (MD); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Above Market Hourly Pay

11% Roth or Traditional 401k

Spot Bonuses

Professional Development Bonuses

Company subsidized Medical Coverage

100% Company Paid Vision and Dental Coverage

Paid Time Off with Flexible Work Schedules

Amazon Prime Membership

Technology and Productivity Allowance

Job summary

Erias Ventures, LLC in Laurel, MD, seeks a Software Engineer to enhance analytics and automation for compliance processes. Must possess a current Top-Secret/SCI clearance and have 20 years of experience in software engineering. Responsibilities include developing ML algorithms and automating compliance functions.

The role offers above-market pay, health coverage, 401k benefits, and a dynamic work environment focused on inclusivity and professional growth.

Qualifications

• 20 years of experience as Software Engineer in similar programs required.
• Experience in Machine Learning model building and monitoring is necessary.
• Bachelor’s degree in Computer Science or related discipline from an accredited institution.

Responsibilities

• Develop, enhance, and prototype compliance and business processing analytics and tools.
• Investigate and integrate compliance modernization Machine Learning/AI algorithms.
• Develop models with appropriate metrics and monitor developed tools.

Skills

Java

Scala

Python

Machine Learning Model building

Linux operating environment

Git/Gitlab

Jupyter Notebooks

IntelliJ

Confluence

Random Forest

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Lucene

SQL

JSON

Scikit-learn

AWS

Spark

Ghostmachine

Job description

Erias Ventures is seeking a Software Engineer to develop, enhance, and prototype compliance and business processing analytics and tools. The role involves creating new methods for automating compliance functions, improving existing methods, investigating, integrating, and testing compliance modernization Machine Learning/AI algorithms, researching proof‑of‑concepts in the RD environment, and developing models with appropriate metrics and monitoring of developed tools, functions, and data flows.

Clearance

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

Experience

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.

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 ConfluenceExperience with Scikit-learn
• Agency Compliance standards, policies, and authorities
• Experience with Agency corporate systems
• Experience with documentation and reviewing documentation

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

Benefits

Wealth Benefits:

• 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

Health Benefits:

• 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

Happiness Benefits:

• 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

Erias Ventures is 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.