Open role
[Remote] AI/ML Engineer
Note: The job is a remote job and is open to candidates in USA. DecisionPoint Corporation seeks an AI/ML Engineer to rapidly prototype and integrate AI/ML capabilities for a federal and DoD-aligned mission environment. The role operationalizes models in dashboards, applications, and workflows while collaborating with data scientists, developers, dashboard teams, and PMO leadership.
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
- Fully remote position.
Company Overview