DecisionPoint seeks to rapidly develop prototypes, implement integrations, and operationalize AI/ML capabilities that support a large federal and DoD-aligned mission environment
Requirements
- Proficiency with Python, JavaScript, or similar development languages
- Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
- Experience building REST APIs, web services, or integration layers
- Understanding of data pipelines, preprocessing steps, and ML lifecycle workflows
- Experience with AWS cloud services or ML platforms
- Familiarity with front-end frameworks for rapid prototyping
- Experience with CI/CD pipelines and DevSecOps tooling
Responsibilities
- Develop rapid prototypes, microservices, APIs, widgets, and integrations to validate new AI/ML concepts
- Integrate ML models into dashboards, applications, and operational workflows
- Build lightweight UI components that demonstrate how AI outputs can be consumed
- Optimize ML pipelines for performance, scalability, and efficient inference
- Collaborate with AI/ML Architects and Data Scientists to operationalize models and automation logic
- Support data ingestion, feature engineering, and preprocessing tasks for prototype development
- Build API wrappers, routing logic, and connector services for ML model interactions
Other
- Candidate must possess a Tier 2 Moderate Risk Public Trust (from any federal agency) or an active Secret clearance or higher
- Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field
- Minimum 5 years of experience in software development, AI/ML engineering, or data-driven application development
- Strong collaboration skills with cross-functional technical teams
- Excellent communication and documentation skills
