GuidehouseRemote
AI / Machine Learning Engineer
United States of America
Full Time
1 week ago
$102,000 - $170,000 USD
H1B Sponsor Likely
Key skills
Machine learningArtificial intelligenceData sciencePythonscikit-learnPyTorchTensorFlowSQLPandasNumPyModel validationModel explainabilityPerformance monitoringBias considerationsFederal security clearance - SecretDoD security clearanceSecure federal environmentsFederal financial dataBudgetary dataTransactional dataAIMachine LearningMLMLOpsMLflowAnalyticsDatabricksSparkAWSAzureCI/CD
About this role
Guidehouse is a consulting firm that focuses on delivering advanced analytics and AI-enabled solutions for federal clients. The AI / ML Engineer will design, build, and deploy scalable machine learning models and data pipelines to support mission-critical decision-making across defense and federal financial domains.
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
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
- 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