AI / Machine Learning Engineer

Guidehouse is seeking an AI / ML Engineer to advance analytics and AI-enabled solutions for federal programs. This onsite role in Indianapolis focuses on designing, building, and deploying scalable ML models and data pipelines that empower mission-critical decisions across defense and federal financial domains. The compensation ranges from USD 102,000 to 170,000 annually, depending on experience and qualifications.

Responsibilities

• Design, develop, train, and deploy ML models to support operational, analytical, and decision-support use cases.
• Create and maintain end-to-end ML pipelines, from data ingestion and feature engineering through model training and evaluation.
• Leverage supervised and unsupervised techniques, including classification, regression, clustering, and anomaly detection.
• Handle large-scale structured and semi-structured federal datasets, such as financial, budgetary, and transactional data.
• Build solutions in secure cloud and on-prem environments in alignment 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

• US citizenship is required.
• Active and maintained SECRET federal or DoD clearance.
• Bachelor’s degree.
• 3–5 years of professional experience in machine learning, AI engineering, data science, or advanced analytics.
• Proven experience building and deploying ML models using Python and modern frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Strong data manipulation and analysis skills with 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.

Technologies

• Python, scikit-learn, PyTorch, TensorFlow
• SQL, Pandas, NumPy
• Databricks, Spark, MLflow, Delta Lake
• Palantir Foundry
• Azure GovCloud, AWS GovCloud

Benefits

• Medical, prescription, dental, and vision insurance
• Personal and family sick time and company-paid holidays
• Discretionary variable incentive bonus eligibility
• Parental leave and adoption assistance
• 401(k) retirement plan
• Basic and supplemental life insurance
• Health Savings Account, Dental/Vision and Dependent Care Flex Spending Accounts
• Short-Term and Long-Term Disability
• Student loan paydown
• Tuition reimbursement and opportunities for personal development
• Skills development and certifications
• Employee referral program
• Corporate-sponsored events and community outreach
• Emergency back-up childcare program
• Mobility stipend

What would be great to have

• Experience supporting the Department of Defense, especially 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 with federal financial or budgetary data (audit, accounting, execution, or spend analytics)
• Experience engineering solutions on Databricks (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 GovCloud or AWS GovCloud
• Master’s degree in a related quantitative or technical field