- 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.
- Valuable 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.