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Guidehouse

AI – Machine Learning Engineer

Guidehouse

AI / ML Engineer delivering advanced analytics and AI solutions for federal clients. Collaborating with multidisciplinary teams to build machine learning models and data pipelines.

Posted 4/17/2026full-timeIndianapolis • 🇺🇸 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
  • 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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Hard Skills & Tools
machine learningAI engineeringdata scienceadvanced analyticsmodel trainingmodel evaluationsupervised learningunsupervised learningdata ingestionfeature engineering
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingstakeholder engagementdocumentationcontinuous improvement
Certifications
Bachelor’s degreeSECRET Federal security clearance