Machine Learning Engineer (TS/SCI Clearance With Full Scope Polygraph Required)

J&T Business Consulting; Laurel (MD); In loco; USD 206.000 - 248.000; Tempo pieno

Descrizione del lavoro

J&T Business Consulting, based in Laurel, Maryland, is seeking a Machine Learning Engineer (TS/SCI with Full Scope Polygraph) to design and build analytics and automation tools for compliance. The role combines research and development with production-grade software across Python, Java, and Scala in Linux.

You will prototype ML models, perform EDA, and integrate with enterprise data pipelines, collaborating using Jira, Confluence, Git platforms, and Bitbucket while ensuring robust monitoring and

Competenze

• Active TS/SCI clearance with Polygraph.
• Bachelor’s degree in Computer Science or related discipline with 14+ years of software engineering experience, or 18+ years without a degree.
• Advanced development experience in Python, Java, and/or Scala on Linux.
• Hands-on with Scikit-learn, ML models, Jupyter Notebooks, Lucene, JEXL, SQL, JSON, and MapReduce.
• Proficient with IDEs and version control; Jira/Confluence familiarity.
• Knowledge of enterprise governance and compliance domains.

Mansioni

• Design, prototype, and maintain compliance automation tools and analytics.
• Implement, test, and validate ML/AI algorithms in an R&D environment.
• Conduct Exploratory Data Analysis and feature engineering on complex datasets.
• Build, deploy, and monitor ML models and data pipelines with telemetry.
• Integrate MapReduce workflows with backend data pipelines.
• Develop full-stack software using Python, Java, Scala, Lucene, JEXL, SQL, JSON on Linux.
• Collaborate using Jira, Confluence, Git/GitLab, and Bitbucket with documentation and peer reviews.

Conoscenze

Python

Java

Scala

Linux

Jira

Confluence

Git

GitLab

Bitbucket

Formazione

Bachelor’s degree in Computer Science or related discipline

14+ years software engineering experience with degree

18+ years software engineering experience without degree

Strumenti

Scikit-learn

Random Forest

Jupyter Notebooks

Lucene

JEXL

SQL

JSON

MapReduce

Descrizione del lavoro

Machine Learning Engineer (TS/SCI Clearance With Full Scope Polygraph Required)

Position: Software Engineer – Level 2 / Level 3

Location: Laurel, MD

Employment Type: Full-Time

Clearance Requirement: Active TS/SCI with Polygraph

Salary Range: $206,000 – $248,000 / year (dependent on experience, education, and skill set)

About the Role

Seeking an experienced Software Engineer (Level 2/3) to develop, prototype, and enhance compliance modernization analytics and business processing systems in Laurel, MD.

In this role, you will design and implement automated compliance tools, integrate machine learning algorithms, and conduct proof-of-concept research within an R&D environment. You will engineer predictive models, develop features, establish operational monitoring for deployed pipelines, and build data-driven tools that integrate with enterprise corporate platforms.

Key Responsibilities

Design, prototype, and maintain compliance automation tools and business processing analytics.

Implement, test, and validate machine learning and AI algorithms (e.g., Random Forest, GMLearn) within an R&D test environment.

Conduct Exploratory Data Analysis (EDA) and execute advanced feature engineering on complex datasets.

Build, deploy, and monitor machine learning models, data flows, and performance telemetry.

Integrate distributed MapReduce processing workflows (Ghostmachine) with backend data pipelines.

Develop full-stack and analytical software using Python, Java, Scala, Lucene, JEXL, SQL, and JSON within a Linux environment.

Collaborate using Jira, Confluence, Git/GitLab, and Bitbucket, maintaining comprehensive technical documentation and participating in peer reviews.

Required Qualifications & Experience

Security Clearance: Active TS/SCI with a current Polygraph.

Experience & Education:

Bachelor’s degree in Computer Science or a related discipline from an accredited institution plus at least 14 years of software engineering experience on programs of similar scope and complexity, OR

18 years of relevant software engineering experience without a degree (4 additional years substituting for the degree).

Programming & Environment: Advanced development experience using Python, Java, and/or Scala in Linux operating environments.

Machine Learning & Data Processing: Hands-on experience with Scikit-learn, Random Forest modeling, feature engineering, Jupyter Notebooks, Lucene, JEXL, SQL, JSON, and MapReduce distributed frameworks.

Development Tooling: Proficiency with IDEs (IntelliJ, Eclipse), version control (Git, GitLab, Bitbucket), and collaboration tools (Jira, Confluence).

Domain Knowledge: Familiarity with customer compliance authorities, enterprise corporate systems, and governance standards.

Desired Qualifications

Strong foundational background in Data Science and applied statistical analysis.

Experience deploying ML systems and pipelines to Amazon Web Services (AWS).

Hands-on experience with Apache Spark for distributed data processing.

Exposure to Large Language Models (LLMs), prompt engineering, and Agentic AI architectures.

Benefits & Compensation

Comprehensive Health, Dental, and Vision Insurance

Basic Life and Disability Insurance

Paid Time Off (PTO) and Paid Holidays

401(k) Retirement Plan with Company Match

Tuition Reimbursement for ongoing education and professional development

An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law.