Applied AI Engineer

New York, New York

  Machine Learning

175000

Permanent

Our client utilizes advanced models to protect against both current and emerging fabrication techniques. As a leading solution for detecting and deterring fraudulent text, audio, and visual content, they partner with government agencies and enterprise clients to enhance security and prevent fraud.

 

Responsibilities

  • Enhance deep learning models for deployment utilizing frameworks such as Pytorch, ONNX, and TensorRT.

  • Develop techniques for model quantization and compression to reduce memory usage and boost inference speed.

  • Implement methods for model obfuscation and ensure secure deployments.

  • Work closely with AI researchers and developers to apply advanced performance optimization techniques in production systems.

  • Evaluate and improve existing model architectures for increased efficiency and performance.

  • Coordinate with the production engineering team to assist with on-premises deployments.

Skillset

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline.

  • Experience with implementing modern deep learning architectures like transformers and CNNs.

  • Proficient in compiling model inference code for deployment.

  • Strong software development skills.

  • Well-versed in deep learning frameworks such as PyTorch, ONNX, and TensorRT.

  • More than two years of industry experience in preparing machine learning models for production.

Interested? Apply now in the link below or email your resume directly to shane@alldus.com for consideration.

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