Job Type
Contract
Description
AI/ML Technical LeadCASCOM ESD Enterprise Analytics/AI ProgramSchedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required
The OpportunityWe're looking for an AI/ML Technical Lead who still builds.
This position requires hands-on technical leadership across AI/ML solutions using CASCOM, GCSS-Army, SAP, and other Army data. The successful candidate must be capable of personally coding, evaluating, deploying, and sustaining models-not simply directing an AI strategy or managing data science teams.
Potential use cases include GenAI/OpenAI, RAG, Copilot, document extraction, anomaly detection, equipment-readiness and maintenance forecasting, fleet automation, recommendation capabilities, and supply forecasting.
What You'll Do- Lead selection and technical refinement of three baseline AI/ML use cases.
- Define mission questions, data requirements, technical baselines, performance metrics, and acceptance criteria.
- Perform hands-on data exploration and feature engineering.
- Develop, train, validate, and comparatively evaluate machine-learning models.
- Conduct error analysis and document model limitations.
- Develop selected GenAI, RAG, forecasting, anomaly-detection, or recommendation capabilities.
- Work with GCSS-Army SMEs to validate business rules and interpret model results.
- Partner with Azure Data/MLOps engineering resources to package, deploy, version, monitor, and sustain models.
- Establish appropriate human-review processes for model outputs affecting operational decisions.
- Develop model cards, evaluation results, release documentation, known limitations, and retraining criteria.
- Integrate analytical outputs into dashboards, Power Apps, APIs, or other operational solutions.
- Participate in demonstrations and production-readiness reviews.
.Requirements
Must-Have Qualifications- Active final Secret clearance.
- 7+ years of data science, machine learning, advanced analytics, or applied AI experience.
- 4+ years developing machine-learning solutions.
- Hands-on production AI/ML development experience.
- Strong Python and SQL skills.
- Experience delivering at least three substantive models or AI capabilities.
- At least one model personally taken from requirements through production or operational deployment.
- Experience with Azure AI/ML services or a comparable cloud environment.
- Ability to explain model evaluation, deployment, monitoring, and retraining.
- Strong experience with pandas, NumPy, scikit-learn, and at least one major ML/deep-learning framework.
- Experience with at least two of the following:
- Forecasting
- Anomaly detection
- Classification
- Recommendation engines
- Optimization
- Document extraction
- NLP, RAG, or GenAI
- Experience establishing measurable model-performance criteria.
- Experience with feature engineering, training, validation/test data, error analysis, explainability, and model documentation.
- Bachelor's degree in computer science, data science, statistics, mathematics, operations research, engineering, or related discipline, or equivalent specialized experience.
Strongly Preferred- Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, or comparable Azure AI services.
- Defense logistics, maintenance, readiness, fleet, supply-chain, acquisition, property, or financial analytics.
- GCSS-Army, SAP ECC, ERP, or maintenance-system data.
- Government-cloud or classified deployment experience.
- Model monitoring, drift detection, bias testing, red teaming, or human-in-the-loop validation.
- Integration of model outputs with Power BI, Power Apps, APIs, or operational applications.
- Experience presenting technical findings to operational users and senior leadership.
