Role Overview:
Understand business problem and the available data and identify what statistical or machine learning / deep learning techniques can be applied to answer a business question.
Build Statistical Models/ ML /DL models, train and test them and drive towards optimal level of performance
Understand what data is available and where and how to pull it together.
Productionalization of models and automate feedback loops

Qualifications:

Masters in Computer Science / Machine learning / Statistics / Mathematics with 4+ years of experience A strong level of proficiency in python programming Working knowledge of deep learning frameworks like Pytorch or tensorflow Proficient with NLP techniques like RNN, LSTM, Attention based models Good understanding of how to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc is required Good understanding of databases (SQL) from a perspective of how to write efficient queries and pull data from them Experience of putting ML models into production Experience in any one of the cloud platforms like (Azure, GCP, AWS etc) Working knowledge of any version control tool (github, bitbucket) Working knowledge of distributed computing such as Hadoop, Spark, Databricks etc

Bonus qualification and skills:
Computer Science / Mathematics / Statistics from Indian Institute of Technology (IIT) or B. Stat / M Stat from Indian Statistical Institute (ISI)
Publications in the machine learning space
Open source contribution in algorithms, libraries and frameworks in ML/DL
Experience with participating and winning Hackathon/Kaggle like competitions in ML/DL
Working knowledge of R
Working knowledge of containers such as Docker and microservices