AI/ML Modeler for Government Production Systems

Synertex LLC; Bethesda (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

Synertex LLC in Bethesda, MD seeks an AI / Machine Learning Modeler / Engineer to develop, deploy, and maintain advanced ML models for government and intelligence programs. The role emphasizes production-grade AI solutions with supervised, unsupervised, and reinforcement learning techniques, delivering scalable results on-site in the DC area.

The position requires TS/SCI clearance with polygraph and a strong education/experience combination across various levels, from entry to expert, to support

Qualifications

• Entry-level requires HS/GED with 6 years experience, or Associate's with 4 years, Bachelor's with 2 years, or Master's degree.
• Journeyman requires HS/GED with 8 years experience, Associate's 6 years, Bachelor's 4 years, Master's 2 years.
• Senior requires HS/GED with 10 years, Associate's 8 years, Bachelor's 6 years, Master's 4 years, PhD 2 years.
• Expert/Master requires HS/GED with 12 years, Associate's 10 years, Bachelor's 8 years, Master's 6 years, PhD 4 years.

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.

Skills

AI/ML modeling

Model deployment

Education

HS/GED + 6 years experience

Associate's + 4 years experience

Bachelor's + 2 years experience

Master's degree

Job description

Synertex LLC in Bethesda, MD seeks an AI / Machine Learning Modeler / Engineer to develop, deploy, and maintain advanced ML models for government and intelligence programs. The role emphasizes production-grade AI solutions with supervised, unsupervised, and reinforcement learning techniques, delivering scalable results on-site in the DC area.

The position requires TS/SCI clearance with polygraph and a strong education/experience combination across various levels, from entry to expert, to support