Note: The job is a remote job and is open to candidates in USA. Xtreme Solutions Inc is a leading provider of information technology and professional services known for outstanding service delivery. They are seeking an AI/ML Technical Lead who will provide hands-on technical leadership across AI/ML solutions, personally coding, evaluating, deploying, and sustaining models.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview