1 Opening(s)
2.0 Year(s) To 8.0 Year(s)
4.00 LPA TO 10.00 LPA
Machine Learning:? Machine learning libraries, frameworks, techniquesML frameworks such as: Tensorflow,Keras, PyTorch, Deep Learning etc.? Deep learning and neural network, supervised and unsupervised machine learning models.? Programming languages e.g. Java, Javascript, Python, C++? Leading cloud technologies such as AWS/Azure/GCP.? ML algorithms including Regression, Classification, Clustering and regularizationtechniques such as Dropout, ...
2 Opening(s)
3.0 Year(s) To 7.0 Year(s)
6.00 LPA TO 10.00 LPA
? Work experience or proven aptitude as a Machine Learning Engineer.? Excellent understanding of tools/libraries/frameworks in the domain of Natural LanguageProcessing such as Tensorflow, Keras, Pytorch, fastAI, HuggingFace, Spacy, Gensim? Knowledge of CNN/RNN/LSTM networks, embedding models and their implementation.? Knowledge of BERT/Transformers, Seq-to-Seq architectures, BiLSTMs, CRFs, Attentionmodels, Text summarization.? Superb ...