Senior AI/ML Developer (Python, TensorFlow, PyTorch) – Onsite Herndon, VA
AiGeniusGov·Herndon, Virginia, US
Posted 2 days ago
Full-Time And Contractor
Apply Now 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