Description
- 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.Location :
IN-GJ-Ahmedabad, India-Ognaj (eInfochips)
Time Type : Full time
Job Category : Engineering Services