AI/ML Engineer

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 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.

Our Equal Employment Opportunity Policy

• EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender