[Hiring] AI/ML Engineer @DecisionPoint | Cortek

Role Description

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

• 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 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.

Company Description