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# AI Deep Learning/ML Engineer

- **Company:** FINITETEK INC
- **Location:** United States (Remote available)
- **Salary:** $95,978.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Github, Internet Service Provider, Python (Programming Language), NumPy, Object-Oriented Software Development, OpenCV, Video Editing, Pytorch, Deep Learning, Numerical Computing, Keras, Pandas, Information Technology, ONNX (Open Neural Network Exchange) Format, Hardware Acceleration
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a3540dd78cb59170

## About the Role

* Educational Background: Master's or PhD degree in Computer Science, Electrical Engineering, or a related field.
 * Programming Expertise: Proficiency in Python and PyTorch, including object-oriented programming principles, decorators, context managers, and experience with numerical computing libraries such as NumPy and pandas.
 * Vision Model Proficiency: Strong understanding of components like convolutional layers, transformers, activation functions, pooling, normalization, and non-maximum suppression.
 * Model Experience: Familiarity with the structure, training, and quantization of models such as YOLO, Mask R-CNN, MobileNet, ConvNeXt, EfficientNet, and Vision Transformers.
 * Frameworks and Libraries: Experience with libraries like Torchvision, Ultralytics, MMCV, Keras, ONNX, and OpenCV.
 * Hardware Awareness: Understanding of hardware fundamentals, including memory transfer, inference time, model size, and precision, crucial for real-time edge deployments.
 * Development Practices: Proficiency in modular development, collaborative coding using GitHub, and producing clear, well-structured documentation.
 * Soft Skills: Strong problem-solving and analytical skills, excellent communication abilities, and a collaborative mindset to work effectively within a multidisciplinary team.
 * Familiarity with OpenCV programming and video processing pipelines is a plus.
 * Having a knowledge and experience on working with Camera drivers and camera pipelines using hardware accelerators such as ISPs is also a plus.



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