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AI/ML Technical Lead / Senior Data Scientist
Chameleon Integrated ServicesUnited States - Remote, United StatesRemotecontractVerifiedPosted 20 Jul 2026
About the role
We are a growing information technology company that offers its employees a culture of success, the chance to work on revolutionary federal IT infrastructure, and the opportunity to grow alongside cutting-edge technology that is reshaping the industry. We are seeking forward-thinking candidates that have strong experience in operational support and can help take to the next level in a proactive stance.
Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U.S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within.
We offer a Full Benefits package including:
AI/ML Technical Lead / Senior Data Scientist
Role: 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.
Requirements:
Strong preferences
We are a growing information technology company that offers its employees a culture of success, the chance to work on revolutionary federal IT infrastructure, and the opportunity to grow alongside cutting-edge technology that is reshaping the industry. We are seeking forward-thinking candidates that have strong experience in operational support and can help take to the next level in a proactive stance.
Chameleon Integrated Services has expertise in operations management, quality systems, data operations and cybersecurity. We secure some of the most sensitive data for the Department of Defense and for other U.S. federal government agencies. We are known for the great care we take with clients and employees, and we believe in promoting from within.
We offer a Full Benefits package including:
- 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
AI/ML Technical Lead / Senior Data Scientist
Role: 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.
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.
- Experien
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