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Markon
AI

AI/ML Engineer Level 2

Markon · Fort Meade, MD, US · $210k - $225k

Actively hiring Posted 5 months ago

Responsibilities

  • Research, design, and implement a broad range of AI and machine learning algorithms and tools.
  • Select and curate appropriate data sets and data representations to support model development.
  • Perform statistical analysis to inform model design and performance evaluation.
  • Develop, train, retrain, and optimize machine learning models using frameworks such as PyTorch and TensorFlow.
  • Execute test and evaluation protocols to verify and validate AI/ML algorithms through iterative design cycles.
  • Use evaluation results to refine models and improve accuracy, robustness, and performance.
  • Provide system integration oversight to ensure AI/ML solutions transition successfully into production environments.
  • Transform data science prototypes into scalable, maintainable, and operational solutions.
  • Verify data integrity, model outputs, and performance quality.
  • Identify and address data distribution shifts and other factors that impact model performance over time.
  • Apply knowledge of software architecture, data modeling, and data structures to support enterprise integration.

Basic qualifications

  • Active TS/SCI w/ Polygraph with this Customer.
  • Master’s degree or PhD with 5+ years of relevant experience in AI, machine learning, or data science.
  • Hands-on experience with machine learning frameworks such as PyTorch and TensorFlow.
  • Strong background in statistical analysis and machine learning algorithm development.
  • Experience working with a variety of ML libraries and packages.
  • Demonstrated experience supporting test, evaluation, verification, and validation (TEVV) of AI/ML systems.
  • Ability to transition models from research or prototype environments into scalable production systems.

Preferred qualifications

  • Experience integrating AI/ML solutions into mission or enterprise systems.
  • Familiarity with model monitoring, drift detection, and performance degradation analysis.
  • Experience working in classified, regulated, or high-reliability environments.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Machine Learning Pytorch Tensorflow
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