Note: The job is a remote job and is open to candidates in USA. Chameleon Integrated Services is a growing information technology company that specializes in federal IT infrastructure and cybersecurity. They are seeking a Senior Data Scientist / AI/ML Technical Lead to provide hands-on technical leadership for AI/ML models, focusing on coding, evaluating, deploying, and sustaining these models for various applications.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview