AI/ML Technical Lead – Senior Data Scientist

Chameleon Integrated Services

AI/ML Technical Lead developing AI/ML models using CASCOM and other Army data. Providing hands-on technical leadership with a focus on production deployment and model sustainability.

Posted 7/15/2026contractRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML model development, deployment, and evaluation, with strong capabilities in Python, SQL, and Azure-based services. Proven experience in delivering operational AI solutions and integrating model outputs into business applications.

Highest-signal resume keywords

Active Secret ClearanceHands-On Production AI/ML DevelopmentStrong Python and SQL CapabilityExperience with Azure-Based AI/ML ServicesExperience Delivering Substantive AI Capabilities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Model DevelopmentFeature EngineeringModel EvaluationError AnalysisForecastingAnomaly DetectionClassificationRecommendation EnginesPythonSQL

Soft Skills

Technical LeadershipCommunicationCollaboration

Tools & Technologies

Azure Machine LearningAzure OpenAISAPPower BIPower Apps

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceActive Secret Clearance

Industry Keywords

Defense LogisticsSupply ChainMaintenanceFleet ReadinessGovernment-Cloud Deployment

Tech Stack

Tools & technologies

AzureCloudERPNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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