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With a global network of suppliers, engineers and manufacturers, Arrow is the shortest distance between what’s possible and what’s practical.
We’re helping customers shape the tangible future and build the technology to get us there. From smart cities to satellites, we play a central role in progress that improves the quality of life and makes the benefits of technology more accessible.
We are a Fortune 102 company with 2021 sales of $34.48 billion. Our team includes 20,700 employees worldwide across more than 288 locations. We help the world’s best technology companies think “Five Years Out,” working together to innovate the next big thing after the next big thing.
Are you thinking Five Years Out? Join us at careers.arrow.com.
2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems.
Excellent hands-on Coding in Python (mandatory), C/C++ or Java.
Experience in developing AI/ML/DL models by using transfer learning or from scratch.
Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc.
Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi).
Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics.
Developed/optimized various models in computing domain (Video, Statistics , Audio and others).
Demonstrated experience in completing data science projects with or without minimal supervision.
Must possess conceptual understanding of various modelling techniques, pros and cons of each technique.
Added Advantage:
Proven record of migrating Al/ML/DL models/algorithms to low level platforms.
Familiar with optimizing code for minimal usage of CPU and memory.