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

Synertex LLC

$100K — $150K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • TS/SCI clearance with polygraph required, including additional security screenings
  • HS/GED with 6-12 years of related experience, depending on level
  • Bachelor's degree with 2-8 years of experience, depending on level
  • Master's degree may substitute for experience depending on level
  • PhD may substitute for experience at expert/master level

Responsibilities

  • Develop, deploy, and maintain AI and machine learning models using provided datasets.
  • Test and refine machine learning models to meet or exceed performance metrics.
  • Utilize supervised, unsupervised, and reinforcement learning in model development.
  • Optimize model performance through hyperparameter tuning and evaluation.
  • Monitor models in production for reliability, efficiency, and scalability.

Benefits

  • Opportunity to contribute to critical government and intelligence missions.
  • Full-time roles in a structured environment with a clear mission focus.
  • On-site positions that may foster team collaboration and engagement.
Full Job Description
AI / Machine Learning Modeler / Engineer

📍 Bethesda, MD | McLean, VA | Chantilly, VA
📌 Full-Time | On-site | Position Contingent Upon Award

Join a mission that matters. 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.

Position Overview:

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.

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.
REQUIREMENTS:
TS/SCI clearance with polygraph required, including additional security screenings

Education and Experience Requirements
Candidates must meet the following minimum education and relevant experience combinations by level:
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


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