Job 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. 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. 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. • 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 identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. • Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. • Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.

Requirements

Must-haves

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.
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.
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)

Nice-to-haves

Technical Knowledge (Preferred)
AI/ML engineering or cloud certifications
Scrum Master or Agile certifications
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlapimachine learningpythonjavascriptrestawsci/cdscrumagile

Platform: icims
Effort: medium