AI Deep Learning/ML Engineer

FINITETEK INC

United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$95,978.0 - $145,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Computer Programming Github Internet Service Provider Python (Programming Language) NumPy Object-Oriented Software Development OpenCV Video Editing Pytorch Deep Learning Numerical Computing

+5 more

Keras Pandas Information Technology ONNX (Open Neural Network Exchange) Format Hardware Acceleration

Requirements

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.