Develop the Data Infrastructure and related services for real-time and streaming data analytics
Assist in data exploration, feature engineering, model training, testing and deployments at scale
Develop quick prototypes and demonstrations to showcase key data insights
Design and develop time-series machine learning and statistical models for anomaly detection, forecasting, pattern identification, data aggregation and transformation at scale
Evaluate and deploy the developed models in distributed and non-distributed environments
Deploy automation frameworks to achieve highest levels of engineering quality
Collaborate and communicate effectively with the business and technical teams to deliver strong results.