HomeTensorFlow EngineerSenior AI/ML Developer (Python, TensorFlow, PyTorch) – Onsite Herndon, VA

Senior AI/ML Developer (Python, TensorFlow, PyTorch) – Onsite Herndon, VA

AiGeniusGov·Herndon, Virginia, US

Posted 2 days ago

Full-Time And Contractor
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About the Role

Build and deploy production-grade AI/ML systems in a high-impact environment. Long-term contract with conversion to full-time in October 2026. Quick Facts • Location: Herndon, VA – Onsite 4–5 days per week (required) • Schedule: Full-time • Duration: Contract through October 2026 → Must convert to FTE • Citizenship: should be able to obtain security clearance • Pay: Competitive Responsibilities • Design, develop, and deploy production AI/ML models • Build supervised, unsupervised, and reinforcement learning solutions • Develop and optimize neural networks (CNNs, RNNs) • Implement solutions using TensorFlow, PyTorch, Keras, and scikit-learn • Perform data acquisition, cleaning, preprocessing, and feature engineering • Work with SQL and NoSQL databases for large-scale datasets • Process and analyze large data using Apache Spark and OpenSearch • Develop NLP solutions using NLTK, spaCy, and Hugging Face Transformers • Deploy and manage models in cloud environments (AWS, GCP, Azure) • Support model lifecycle management and MLOps best practices Required Qualifications • U.S. Citizen (required) • 7–10 years of professional experience as an AI/ML Developer or similar role • Strong mastery of Python • Hands-on experience with TensorFlow, PyTorch, Keras, and scikit-learn • Strong understanding of supervised, unsupervised, and reinforcement learning • Experience building neural networks (CNNs, RNNs) • Strong foundation in linear algebra, calculus, probability, and statistics • Experience with SQL and NoSQL databases • Experience working with Apache Spark and OpenSearch • Experience deploying ML models in AWS, Azure, or GCP environments Preferred Qualifications • Experience building large-scale, production AI/ML platforms • Strong background in NLP solutions using spaCy, NLTK, or Hugging Face • Experience implementing MLOps and automated model lifecycle workflows • Experience handling large-scale data processing pipelines Compliance / Eligibility (Read Carefully) • Must be eligible to obtain security clearance. • Must work onsite in Herndon, VA at least 4 days per week (some weeks 5 days) • Must be willing to convert to full-time employment in October 2026 • Candidates with less than 7 years of AI/ML experience will not be considered How to Apply Apply directly through Indeed. Qualified candidates meeting all required criteria will be contacted. Pay: $105,000.00 - $150,000.00 per year Benefits: • 401(k) • AD&D insurance • Dental insurance • Health insurance • Life insurance • Vision insurance Work Location: In person

What you'll do

  • Build and deploy production-grade AI/ML systems in a high-impact environment
  • Schedule: Full-time
  • Design, develop, and deploy production AI/ML models
  • Build supervised, unsupervised, and reinforcement learning solutions
  • Develop and optimize neural networks (CNNs, RNNs)
  • Implement solutions using TensorFlow, PyTorch, Keras, and scikit-learn
  • Perform data acquisition, cleaning, preprocessing, and feature engineering
  • Work with SQL and NoSQL databases for large-scale datasets
  • Process and analyze large data using Apache Spark and OpenSearch
  • Develop NLP solutions using NLTK, spaCy, and Hugging Face Transformers
  • Deploy and manage models in cloud environments (AWS, GCP, Azure)
  • Support model lifecycle management and MLOps best practices

Requirements

  • Duration: Contract through October 2026 → Must convert to FTE
  • Citizenship: should be able to obtain security clearance
  • U.S. Citizen (required)
  • 7–10 years of professional experience as an AI/ML Developer or similar role
  • Strong mastery of Python
  • Hands-on experience with TensorFlow, PyTorch, Keras, and scikit-learn
  • Strong understanding of supervised, unsupervised, and reinforcement learning
  • Experience building neural networks (CNNs, RNNs)
  • Strong foundation in linear algebra, calculus, probability, and statistics
  • Experience with SQL and NoSQL databases
  • Experience working with Apache Spark and OpenSearch
  • Experience deploying ML models in AWS, Azure, or GCP environments
  • Compliance / Eligibility (Read Carefully)
  • Must be eligible to obtain security clearance
  • Must work onsite in Herndon, VA at least 4 days per week (some weeks 5 days)
  • Must be willing to convert to full-time employment in October 2026
  • Candidates with less than 7 years of AI/ML experience will not be considered

Benefits

  • Pay: Competitive
  • Pay: $105,000.00 - $150,000.00 per year
  • 401(k)
  • AD&D insurance
  • Dental insurance
  • Health insurance
  • Life insurance
  • Vision insurance
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