Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 31st May'19 and 30th Jun'19
3. are available for duration of 6 months
4. have relevant skills and interests
1. Should have a BS in computer science, software engineering, statistics, calculus, and algebra or a related course
2. Should be good at Python and its frameworks (such as NumPy, Pandas, Matplotlib, or Scikit) or R
3. Should have proficiency in using SQL and knowledge of database architecture
4. Should have deep knowledge of machine learning, deep Learning (convolutional networks, recurrent networks such as LSTM, GRU, etc.), computer vision, and NLP
5. Should have experience with the data mining and statistical tools and algorithms
6. Should have knowledge of big data, cloud computing technologies, distributed systems, recommendation systems, and pattern recognition
7. Must have used at least one deep learning library (TensorFlow, CAFFE, Theano, Torch, etc.)
8. Must have a data structure and algorithm expertise
9. Should have good Kaggle/GitHub/Stack Overflow profile/projects
OR
