AI / Machine Learning Engineer

Job Family:

Data Science Consulting

Travel Required:

Up to 10%

Clearance Required:

Active Secret

What You Will Do

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.

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

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

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.

What We Offer:

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

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.