Responsibilities:

• Should have implemented 2-3 deep learning NLP models and have knowledge Deep Learning & Machine Learning algorithms and statistical analysis
• Understanding of deep learning architectures specially RNN, CNN, LSTM, GRU
• Should have experience  in NLP Techniques
• Worked on frameworks like Pytorch, Tensorflow (or) Keras
• Should be comfortable working with Linux systems and GPUs for deep learning
• The candidate should be an expert (3+ year) in python scripting and pandas, numpy, OOPS etc
• Should have theoretical understanding of Random forest, SVM, Boosting and bagging, linear and logistic regression, unsupervised learning techniques
• Should be able to write SQL queries when needed
• Should have experience in developing and deploying projects on Cloud Platforms (AWS or Azure)
• Should have capability to work independently and achieve good results
• Having knowledge of computer vision is preferable
• Should have worked in agile environment
• Should have lead technically a team of data scientists and track progress