Test & Evaluation Technical Project Manager (TS / SCI)

Job Description

Job Description

Title :   Test & Evaluation Technical Project Manager

Clearance Required :   TS / SCI

Location :   Springfield, VA

Position Type :   Full-Time

About the Company

VivSoft is an emerging technology company specializing in leveraging modern technologies to solve our clients’ most complex mission challenges. We focus on Cloud, Enterprise DevSecOps, Artificial Intelligence (AI), and Digital Customer Experience to drive mission-enabling digital transformation.

Our passion lies in building mission-focused, open, and scalable solutions. We are a diverse team of strategists, engineers, designers, and innovators with deep experience in developing high-performance software and AI factory accelerators through automation and agile practices.

Key Responsibilities

Identify program knowledge gaps and collaborate with the Test & Evaluation (T&E) team, government SMEs, and vendors to recommend scope, develop plans, and prioritize T&E efforts to gain deeper insights into program performance.

Assist the T&E Technical Lead and domain SMEs (Algorithm, Systems, and Human-Machine) in defining priorities, setting deadlines, and tracking progress on deliverables.

Participate in Independent Verification and Validation (IV&V) activities as required.

Analyze machine learning (ML) pipelines for data quality, model drift, and version control.

Apply statistical and computational techniques to evaluate AI / ML model effectiveness in real-world or simulated environments.

Support the development of a T&E Knowledge Repository to improve accessibility to key deliverables such as test plans, lessons learned, experimental outcomes, and performance metrics.

Minimum Required Technical Skills

Experience in AI / ML Test and Evaluation (T&E) or related technology areas (e.g., data platforms)

Proficiency in Model Verification & Validation, Statistical Analysis, and Performance Evaluation

Knowledge of Adversarial Testing Strategies

Preferred Technical Skills

Experience with MLOps and Automation frameworks

B.S. and / or M.S. in Computer Science, Data Science, Engineering, or a related technical field

Familiarity with Python, TensorFlow, and related AI / ML tools and technologies

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