- Hands-on experience with Deep Learning frameworks like Keras, TensorFlow, ONNX, PyTorch, Caffe/Caffe2, etc
- Experience/understanding of NN architectures for CV, NLP and NLG models
- Experience with machine learning algorithms and architectures, including CNNs, and RNNs/ LSTMs
- Strong python implementation skills (Min. 7/10)
- Strong C++ implementation and OOPS skills (min. 7/10)
- Solid in Data Structures and Algorithms (min. 7/10)
- Experience with GPUs, machine learning accelerators and related software is a plus
- Experience in creating new Neural NW architectures for different use cases and the use of correct datasets, achieving the desired target accuracy