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.