AI / Machine Learning Modeler / Engineer - National Capital Region (NCR); Must have an active TS/SCI Clearance with Polygraph

Synertex • Bethesda, MD

16d • Onsite

About The Position

We are seeking a skilled AI / Machine Learning Modeler / Engineer to support critical government and intelligence programs by developing, deploying, and maintaining advanced machine learning models in production environments. This role focuses on building high-performing, scalable AI solutions using supervised, unsupervised, and reinforcement learning techniques to solve complex operational challenges. Develops, deploys, and maintains AI and machine learning models in support of critical government and intelligence missions. This role applies advanced machine learning techniques to build, evaluate, and sustain models that operate in production environments with high performance, reliability, and scalability requirements.

Requirements

• TS/SCI clearance with polygraph required, including additional security screenings
• Entry Level: HS/GED + 6 years experience, Associate's + 4 years experience, Bachelor's + 2 years experience, Master's degree (experience may be substituted as appropriate)
• Journeyman Level: HS/GED + 8 years experience, Associate's + 6 years experience, Bachelor's + 4 years experience, Master's + 2 years experience
• Senior Level: HS/GED + 10 years experience, Associate's + 8 years experience, Bachelor's + 6 years experience, Master's + 4 years experience, PhD + 2 years experience
• Expert / Master Level: HS/GED + 12 years experience, Associate's + 10 years experience, Bachelor's + 8 years experience, Master's + 6 years experience, PhD + 4 years experience

Responsibilities

• Develop, deploy, and maintain AI and machine learning models using provided datasets and customer requirements.
• Test and develop machine learning models to meet or exceed defined performance evaluation metrics.
• Apply concepts of supervised, unsupervised, and reinforcement learning in model development.
• Perform hyperparameter tuning and model evaluation to optimize performance.
• Monitor machine learning models in production environments to ensure reliability, efficiency, and scalability.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed