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 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

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, 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 +