AI/ML Technical Lead – Senior Data Scientist

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Chameleon Integrated Services

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

🔒 Cybersecurity

IT Modernization • Cybersecurity • Cloud Services

Chameleon Integrated Services is a provider of high-quality IT solutions designed to enhance organizational effectiveness in both public and private sectors. They focus on three core principles: Prepare, Protect, and Prosper. By leveraging technology and innovation, Chameleon helps clients reduce risks, streamline operations, and modernize their IT infrastructure while ensuring cybersecurity and effective network management. With a commitment to personal growth and teamwork, Chameleon emphasizes building strong relationships and delivering transformational results.

📋 Description

• Provide hands-on technical leadership for the three required AI/ML models using CASCOM, GCSS-Army, SAP, and other Army data. • This person must be capable of coding, evaluating, deploying, and sustaining models—not merely leading strategy discussions. • The potential use cases include GenAI/OpenAI, Copilot, SAP ECC search, document extraction, anomaly detection, equipment-readiness forecasting, maintenance forecasting, fleet automation, and supply forecasting. • Lead selection and refinement of the three baseline AI/ML use cases. • Define the mission question, data requirement, technical baseline, performance metric, and acceptance criteria for each model. • Perform data exploration, feature engineering, model development, comparative evaluation, and error analysis. • Work with the GCSS-Army SME to validate business rules and interpret model results. • Work with the Azure Data/MLOps Engineer to package, deploy, monitor, version, and sustain models. • Develop GenAI, RAG, forecasting, anomaly detection, or recommendation capabilities as selected. • Establish human-review procedures where model outputs affect operational decisions. • Prepare model cards, evaluation results, known limitations, release documentation, and retraining criteria. • Support integration of model findings into dashboards and Power Apps. • Participate in demonstrations and CASCOM production-readiness reviews. • Ability to work remotely during normal Government working hours and participate in daily status, requirements, development, and technical-review sessions. • Ability to travel to Fort Lee, Virginia, at least three times annually and report onsite more frequently if directed.

🎯 Requirements

• Active Secret clearance. • Hands-on production AI/ML development. • Strong Python and SQL capability. • Experience taking at least one model from requirements through production or operational deployment. • Experience with Azure-based AI/ML services or a comparable cloud environment. • Able to explain model evaluation, deployment, monitoring, and retraining. • Bachelor’s degree in computer science, data science, statistics, mathematics, operations research, engineering, or a related discipline; equivalent specialized experience may substitute. • Seven or more years in data science, machine learning, advanced analytics, or applied AI. • Four or more years developing machine-learning solutions. • Experience delivering at least three substantive models or AI capabilities, with at least one in production. • Strong Python, SQL, pandas, NumPy, scikit-learn, and one major ML or deep-learning framework. • Experience with two or more of the following: Forecasting. Anomaly detection. Classification. Recommendation engines. Optimization. Document extraction. NLP, RAG, or GenAI. • Experience defining measurable model-performance criteria. • Experience with feature engineering, training, validation, test data, error analysis, explainability, and model documentation. • Strong preferences 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. • Classified or Government-cloud deployment. • 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 briefing technical results to operational users and senior leaders.

🏖️ Benefits

• Competitive Employee Health Insurance options including dental • 100% company paid vision plan • 401K plan with generous company match and no vesting period • 100% company paid life insurance • 100% company paid long and short-term disability insurance • Training allowance • PTO and more