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AI / Machine Learning Engineer

Benz Technology Fort Meade, MD

Fort Meade, MD

Today

$145k - $195k/yr Full time Artificial Intelligence Data Analysis Data Pipeline

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Job Description

Support an MT&E team by designing, evaluating, and operationalizing AI/ML capabilities for mission-driven analytical objectives.

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

Requirements

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

Technologies

Python
TensorFlow
PyTorch
scikit-learn

Required Qualifications

Active TS/SCI clearance required
Benz Technology is unable to sponsor security clearances
U.S. citizenship required

Desired Qualifications

Experience in a government or IC modeling and evaluation environment
Familiarity with ML pipeline orchestration and experiment tracking tools
Experience in applied ML areas such as NLP or computer vision
Background in statistical analysis or data science

Work Arrangement and Pay

Location: Fort Meade, MD (hybrid)
Telework: Up to 16 hours/week after full acclimation and completion of telework training, subject to mission needs and leadership discretion
Salary: $145,000–$195,000 (annual)

Benefits

15% employer 401(k), vested day one, no match required
28 paid days off per year
$7,500 annual tuition reimbursement
$2,500 training and development budget
28 years in business; engineers stay through recompetes

This role supports a Modeling, Test & Evaluation (MT&E) team focused on AI/ML development and analysis. There are two open positions on the same team.

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