AI / ML Engineer

About the Role

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.

Responsibilities

Key responsibilities include:

• 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 Will 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

What Would Be Great to Have

• Experience supporting the Department of Defense, particularly work involving Advana or enterprise DoD data platforms
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field
• Hands-on experience working with federal financial or budgetary data (e.g., audit, accounting, execution, or spend analytics)
• Experience engineering solutions on Databricks (including Spark, MLflow, Delta Lake)
• Experience building analytics or ML solutions using Palantir Foundry
• Familiarity with MLOps practices, CI/CD for ML, and model lifecycle management
• Experience working in cloud environments such as Azure (including GovCloud) or AWS GovCloud
• Master's degree in a related quantitative or technical discipline

Salary Range

The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Benefits

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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