Sound understanding of ML concepts/ Probabilistic Models, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter Good knowledge of constraint Optimization, and Deep Learning; Strong experience in developing and maintaining machine learning models/sound knowledge of GLM, Regression/ Logistic Regression, Random Forest, XGBoost, SVM, Clustering, building data pipelines in Azure/Databricks. Proficient in Python/Pyspark with strong capabilities in data analysis/modelling. Explore data and communicate insights clearly to non-technical as well as technical audience. Expertise in python machine learning tools and libraries (scikit-learn, h2o, R/MLlib or similar etc.) 4-6 years of work experience in building models is required. Desirable to have experience in visualization tools like Qlik, Power BI, Tableau etc. Desirable to have experience with data and machine learning services using Azure. Desirable to have knowledge/ experience in big data technologies Must have strong prob...