AI/ML Technical Lead

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.

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., 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.

About Xtreme SolutionsXSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company’s incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities.