Machine Learning Engineer — TS/SCI with Poly, R&D ML

J&T Business Consulting; Kentucky; On-site; USD 206,000 - 248,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Life and disability insurance

Paid time off and holidays

401(k) with company match

Tuition reimbursement

Job summary

Unknown company is seeking a Machine Learning Engineer (TS/SCI with Full Scope Polygraph) in Laurel, MD. This full-time role demands developing compliance analytics, incorporating ML models, and building data-driven tools in a Linux environment.

The position requires strong Python/Java/Scala skills, experience with Scikit-learn, Jupyter Notebooks, and distributed processing, plus collaboration using Jira/Confluence and Git platforms.

Qualifications

• Requires Active TS/SCI clearance with Polygraph.
• Bachelor’s degree plus extensive software engineering experience on complex programs.
• Proficiency in Python/Java/Scala in Linux environments.
• Hands-on ML tools: Scikit-learn, Jupyter Notebooks; experience with MapReduce stacks.

Responsibilities

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

Skills

Python

Java

Scala

Linux

ML & AI

Education

Bachelor’s degree in Computer Science or related field

14+ years software engineering experience on similar programs

18 years of experience without a degree

Tools

Git

GitLab

Jira

Confluence

Lucene

JEXL

SQL

JSON

MapReduce

Job description

Unknown company is seeking a Machine Learning Engineer (TS/SCI with Full Scope Polygraph) in Laurel, MD. This full-time role demands developing compliance analytics, incorporating ML models, and building data-driven tools in a Linux environment.

The position requires strong Python/Java/Scala skills, experience with Scikit-learn, Jupyter Notebooks, and distributed processing, plus collaboration using Jira/Confluence and Git platforms.