AI/ML Test Engineer

Modern Technology Solutions, Inc.; Springfield (VA); On-site; USD 80,000 - 120,000; Full time

Job summary

Modern Technology Solutions, Inc. is seeking candidates to support system-level AI/Machine Learning evaluation activities in the T&E environment. Responsibilities include integration testing, data validation, and collaborating with senior engineers.

The ideal candidate will have over 4 years of experience in AI/ML testing, a related bachelor's degree, and the ability to obtain an active TS/SCI clearance.

Qualifications

• 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows.
• Familiarity with automated testing pipelines and model performance assessment.
• Active TS/SCI clearance and ability to pass a CI polygraph.

Responsibilities

• Execute system-level AI/Machine Learning evaluation activities in the T&E environment.
• Perform integration testing and data validation across AI/ML workflows.
• Collaborate with Senior AI/ML Test Engineers and mission stakeholders.

Skills

AI/ML testing

system integration

operational testing

data validation

troubleshooting technical issues

analytical skills

communication skills

Agile methodologies

DevSecOps

cloud environments

Education

Bachelor's degree in IT or STEM

Job description

Responsibilities

Execute system-level AI/Machine Learning evaluation activities within the Test & Evaluation (T&E) environment supporting mission-focused operational testing.

Perform integration testing, data capture, drift detection, and operational validation activities across AI/ML evaluation workflows.

Support automated and semi-automated evaluation pipelines for AI/ML model testing and performance assessment.

Develop, maintain, and refine data annotation workflows supporting operational evaluation requirements.

Validate operational datasets and support testing activities across multiple models, datasets, and mission scenarios.

Conduct integration testing of AI/ML models within operationally representative environments and workflows.

Adapt evaluation procedures and workflows to address evolving GEOINT data conditions and operational mission requirements.

Support high-throughput and parallel model evaluation activities to maintain alignment with mission timelines and operational priorities.

Identify and mitigate data drift, performance degradation, and workflow issues impacting evaluation reliability.

Collaborate with Senior AI/ML Test Engineers, data scientists, software engineers, and mission stakeholders to support scalable T&E execution.

Contribute to technical documentation, evaluation reporting, and customer briefings supporting operational decision‑making.

Qualifications

• 4+ years of experience supporting AI/ML testing, system integration, operational testing, or evaluation workflows.
• Familiarity with automated testing pipelines, operational data validation, and model performance assessment concepts.
• Ability to support multiple evaluation activities across dynamic operational environments.
• Experience troubleshooting technical workflow or data‑related issues in support of operational objectives.
• Strong analytical, organizational, and communication skills.
• Bachelor's degree in IT or STEM related field, or additional relevant experience in lieu of a degree.
• Experience supporting DoD, NGA, or Intelligence Community programs.
• Familiarity with AI/ML model evaluation, GEOINT workflows, and operational testing environments.
• Experience working in Agile, DevSecOps, or cloud‑based operational environments.
• Familiarity with annotation workflows, data capture pipelines, drift detection, and automated evaluation tools.
• Experience supporting scalable AI/ML evaluation or mission‑focused T&E activities.
• Active TS/SCI clearance and the ability to pass a CI polygraph within 30 days.