AI/Machine Learning Engineer

Guidehouse

AI / ML Engineer developing scalable ML models and data pipelines for federal clients. Collaborating with multidisciplinary teams to translate complex problems into production-ready solutions.

Posted 5/8/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $102,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

CloudNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

As an AI / ML Engineer, you will be part of multidisciplinary teams delivering advanced analytics, machine learning, and AI-enabled solutions for federal clients.
You will design, build, and deploy scalable ML models and data pipelines that support mission-critical decision-making across defense and federal financial domains.
You will work closely with clients, data engineers, product owners, and functional SMEs to translate complex data and business problems into production-ready AI and ML solutions, while ensuring compliance with federal security and data-handling requirements.
Design, build, train, and deploy machine learning models to support operational, analytical, and decision-support use cases.
Develop and maintain end-to-end ML pipelines, from data ingestion and feature engineering through model training and evaluation.
Apply supervised and unsupervised learning techniques, including classification, regression, clustering, and anomaly detection.
Work with large-scale structured and semi-structured federal datasets, including financial, budgetary, and transactional data.
Engineer solutions in secure cloud and on-prem environments in compliance with DoD and federal security controls.
Collaborate with stakeholders to translate analytic outcomes into actionable insights and mission value.
Contribute to solution documentation, model explainability, and government-facing deliverables.
Support continuous improvement of data science and ML engineering best practices across teams.

Requirements

What you’ll need

US Citizenship is required.
An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelor’s degree obtained.
3–5 years of professional experience in machine learning, AI engineering, data science, or advanced analytics
Demonstrated experience building and deploying ML models using Python and modern ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
Strong experience with data manipulation and analysis using SQL, Pandas, NumPy, and related tools
Experience working in secure federal environments, particularly DoD or Intelligence Community programs
Understanding of model validation, explainability, performance monitoring, and bias considerations
Ability to communicate complex technical concepts clearly to technical and non-technical audiences.

Benefits

Comp & perks

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningAI engineeringdata scienceadvanced analyticsmodel trainingmodel evaluationsupervised learningunsupervised learningdata pipelinesfeature engineering

Soft Skills

communicationcollaborationproblem-solvingstakeholder engagementdocumentationcontinuous improvement

Certifications

SECRET Federal security clearance