About the job
Job 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.
Requirements
- Python
- Deep Learning
- Computer Vision
- AI
- Data Analytics
Preferred Technologies
- Python
- Deep Learning
- Computer Vision
- AI
- Data Analytics
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