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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** DecisionPoint Corporation - **Location:** Reston, VA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Transformation, Python (Programming Language), Machine Learning, Scrum Methodology, Rapid Prototyping Process, Cloud Services, Tensorflow, Azure Machine Learning, Software Engineering, Systems Integration, Web Services, Feature Engineering, Data Ingestion, Pytorch, Material UI, Scikit Learn, Information Technology, Data Analytics, Machine Learning Operations, Front End Software Development, Api Design, Restful APIs, Data Pipelines, Devsecops, Programming Languages, Microservices - **Published:** July 30, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17752668?backUrl=%2Fcareer%2F17752668%2FAi-Ml-Engineer-Virginia-Reston ## About the Role Candidate must possess a Tier 2 Moderate Risk Public Trust (from any federal agency) or an active Secret clearance or higher. Education (Required) Bachelor's degree in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Statistics, or a related field. Experience (Required) * 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. Technical Knowledge (Required) * 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. Technical Knowledge (Preferred) * Experience with AWS cloud services or ML platforms. * Familiarity with front-end frameworks for rapid prototyping. * Experience with CI/CD pipelines and DevSecOps tooling. Certifications Required: * ITIL v4 Foundation Preferred: * AI/ML engineering or cloud certifications * Scrum Master or Agile certifications Skills * 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. ## Description The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission workflows., The AI/ML Engineer will: 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. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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