AI/ML Engineer
- Compensation
- Not disclosed
- Location
- US
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 5+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- Clearance Requirement
- Candidate must possess 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.
- Minimum 5 years of experience in software development, AI/ML engineering, or data-driven application development.
- ITIL v4 Foundation
Nice to have
- AI/ML engineering or cloud certifications
Full description
Overview
DecisionPoint seeks an AI/ML Engineer to rapidly develop prototypes, implement integrations, and operationalize AI/ML capabilities that support a large federal and DoD-aligned mission environment. This role builds fast proofs-of-concept, API-based integrations, and lightweight user-facing components that validate new AI/ML ideas and help transition successful models into production dashboards and applications.
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.
This position is fully remote.
Duties & Responsibilities
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.
Qualifications
Clearance Requirement
Candidate must possess 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.