- 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions
- Strong communication skills
- Experience in managing global analytics teams in multiple locations is preferred
- Track record of analytical product development, innovation, or research (patents or publications) would be a plus
- Python / R programming
- Have worked on semi-supervised problems
- Worked on NLP unstructured data / semi structured data
- Have prior experience in pre-trained models, like BERT, Glove
- Worked on Neural Network, with experience in Tensor Flow, PyTorch
- Model development using RNN, CNN, LSTM
- Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc
- Experience in unsupervised learning and optimisation
- Experience in model performance tuning
- Experience in Model governance and deployment
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