Security-Cleared AI/ML Engineer – Hybrid (TS/SCI)

Benz Technology International; Fort Meade (MD); Hybrid; USD 145,000 - 195,000; Full time

Benefits offered by this job

15% employer 401(k)

28 paid days off per year

$7,500 annual tuition reimbursement

$2,500 training and development budget

28 years in business

Job summary

Benz Technology International seeks an AI/ML engineer to support MT&E at Fort Meade, MD, in a hybrid capacity. The role focuses on designing, evaluating, and operationalizing AI/ML capabilities for mission-driven objectives.

You will design, test, and validate ML models, evaluate performance across pipelines, and collaborate with teammates to integrate solutions into operational workflows, documenting methodologies and results.

Qualifications

• Hands-on experience developing and evaluating machine learning models.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with model testing, validation, and performance assessment.
• Strong analytical and problem-solving skills applied to data-driven tasks.

Responsibilities

• Design, develop, and evaluate machine learning models and algorithms.
• Perform modeling, testing, and evaluation across AI/ML systems and pipelines.
• Analyze model performance and recommend improvements based on evaluation results.
• Collaborate with team members to integrate ML solutions into operational workflows.
• Document findings, methodologies, and model performance metrics.
• Support iterative development and testing cycles for AI/ML tools and applications.

Skills

ML modeling

Python programming

Analytical thinking

Problem solving

Tools

Python

TensorFlow

PyTorch

scikit-learn

Job description

Benz Technology International seeks an AI/ML engineer to support MT&E at Fort Meade, MD, in a hybrid capacity. The role focuses on designing, evaluating, and operationalizing AI/ML capabilities for mission-driven objectives.

You will design, test, and validate ML models, evaluate performance across pipelines, and collaborate with teammates to integrate solutions into operational workflows, documenting methodologies and results.