AI / Machine Learning Engineer

Guidehouse•Indianapolis, IN

22h•$102,000 - $170,000

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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

Benefits

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