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Artificial Intelligence (AI) Engineer

Velocity X

Salary not specified
Aug 19, 2025
Chantilly, VA, US
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Velocity-X is seeking to solve the biggest challenges in data management and analytics for the defense and intelligence communities by constructing and deploying scalable AI/ML computing infrastructures and application stacks.

Requirements

  • Strong programming skills in languages such as Python, Java, and/or R.
  • Experience with machine learning frameworks such as TensorFlow, Keras, and/or PyTorch.
  • Solid understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning, and neural networks.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with data management and big data technologies (e.g., Spark, Hadoop, SQL, NoSQL databases).
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
  • Experience with version control systems like Git.

Responsibilities

  • Design, develop, and implement scalable AI/ML computing infrastructures and application stacks.
  • Build and deploy machine learning models and AI solutions from scratch.
  • Transform machine learning models into APIs for integration with other applications.
  • Conduct statistical analysis and interpret results to guide and optimize decision-making.
  • Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training.
  • Optimize AI algorithms for performance, scalability, and efficiency.
  • Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI applications.

Other

  • Master’s in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field.
  • 10+ years experience with 3+ years of demonstrated and related industry experience
  • TS/SCI with Full-Scope Polygraph
  • Excellent communication and collaboration skills to articulate technical solutions to both technical and non-technical audiences.
  • Equal Opportunity Employer: Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.