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Random Forest Ml Jobs (NOW HIRING)

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ... Random Forest, Decision Trees, Clustering * Data Engineering : Databricks, Hadoop, SQL, Data ...

vetegrity

Software Engineer

Annapolis Junction, MD · On-site

... JEXL, SQL, JSON * - Random Forest and ability to do feature development for Random Forest ... implementing ML systems - Experience with Spark - Agentic AI - Large Language Models (LLM ...

CGI

Senior ML/MLOps Engineer

Pittsburgh, PA · On-site

$97K - $134K/yr

Senior ML/MLOps Engineer Position Description This role will require someone at our client site 5 ... Strong experience in building and deploying predictive models based on Random Forest, Linear ...

Power3 Solutions

SWE3/SWE2 - Python, Linux

Laurel, MD · On-site

$150K - $250K/yr

Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Agentic AI * Large Language Models ...

Power3 Solutions

SWE3/SWE2 - Python, Linux

Laurel, MD · On-site

$150K - $250K/yr

Random Forest and ability to do feature development for Random Forest * Experience with Machine ... Experience implementing ML systems * Experience with Spark * Agentic AI * Large Language Models ...

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How much do random forest ml jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for random forest ml in the United States is $35.51, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $40.38 per hour, depending on experience, location, and employer.

Are Random Forest ML jobs in demand?

Random Forest machine learning jobs are in demand across industries such as finance, healthcare, and technology, as organizations seek to leverage predictive analytics and data-driven decision-making. These roles often require skills in Python, R, and data modeling, with demand driven by the growth of AI and data science fields.

What other helpful pages are available for Random Forest Ml?

Other pages related to Random Forest Ml:

Infographic showing various Random Forest Ml job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 93% Full Time, 2% Part Time, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $73,866 per year, or $35.5 per hour.

Data Science Engineer (TS/SCI Clearance With Full Scope Polygraph Required)

Laurel, MD • On-site

J&T Business Consulting
See more jobs at J&T Business Consultingexternal

$206K - $248K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Laurel, United States

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

This position offers a comprehensive benefits package designed to support employees both personally and professionally:

  • 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.

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