Note: The job is a remote job and is open to candidates in USA. DecisionPoint Corporation seeks an AI/ML Engineer to support federal and DoD-aligned missions through rapid AI/ML prototyping and operationalization. The role develops prototypes, APIs, microservices, integrations, and lightweight user interfaces; integrates and optimizes ML models; and collaborates with data scientists, developers, dashboard teams, cybersecurity teams, and PMO leadership to transition successful solutions into production workflows.
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
- Validate prototype functionality, performance, error handling, and model integration
- Contribute to documentation of models, prototypes, integrations, and deployment patterns
- Work with cybersecurity teams to ensure integration patterns align with security requirements
- Recommend improvements based on usability testing, technical feedback, and mission needs
Skills
- 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
- * Experience building API-driven prototypes, integrations, or microservices
- * Experience integrating ML models into dashboards, applications, or mission workflows
- * Experience working with data scientists or ML engineers to transition models to production
- * 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
- * ITIL v4 Foundation
- * Strong development and prototyping skills
- * Ability to translate AI/ML concepts into functional components quickly
- * Strong collaboration skills with cross-functional technical teams
- * Excellent communication and documentation skills
- * High attention to detail in integration, testing, and optimization work
- * Experience with AWS cloud services or ML platforms
- * Familiarity with front-end frameworks for rapid prototyping
- * Experience with CI/CD pipelines and DevSecOps tooling
- * AI/ML engineering or cloud certifications
- * Scrum Master or Agile certifications
Benefits
- This position is fully remote.
Company Overview