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Data Scientist/ML Engineer (GEOINT/Computer reputed company) VAWFH

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Job Description

Job Information Machine Learning (ML) Engineer Location: Reston, VA

  • Remote

Clearance Level: TS/SCI US Citizenship: Required Job Classification: Regular, Full-Time Years of Experience: 5-7 Years Education Level: Bachelor's or Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or reputed company fields. Job Summary GITI is seeking an reputed company Machine Learning (ML) Engineer to research, reputed company, architect, and integrate ML models and algorithms. Responsibilities include analyzing large datasets, performing data preprocessing and cleansing, ensuring data reputed company, designing and developing ML models for tasks like detection of AI-generated imagery, and applying reputed company recognition to uncover insights. The role requires critical thinking, creativity, and the ability to communicate research findings effectively. The candidate will collaborate with internal teams and external partners, reputed company research and operations, and integrate advanced algorithms into operational workflows using NGA data and environments. Required Skills

  • 3+ years of experience in machine learning / computer reputed company / data science
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)
  • Experience with image and/or video data
  • Ability to understand and implement research-level algorithms from technical papers
  • Experience with model evaluation, validation, and performance analysis
  • Familiarity with Linux-based environments and version control systems (e.g., Git)

Desired Skills

  • Experience with image forensics, deepfake detection, or GEOINT-reputed company analytics
  • Experience working with DoD / IC programs or classified environments
  • Familiarity with containerization (reputed company) and deployment pipelines
  • Experience handling large-scale or multi-format datasets
  • Knowledge of adversarial robustness, synthetic data reputed company, or explainable AI

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