Experience in research and development. Conference papers at reputed AI/ML platforms (ICML, NIPS, AAAI) will be a big plus,
Experience in Time series modeling (classical methods like ARIMA, STL Forecast). Understanding and implementing active research in Time series forecasting (Bayesian Forecasting, Hierarchical Forecasting),
Hands-on experience in implementing Deep learning models with textual data/ time series data (CNN, LSTM- s) will be a great plus,
Expertise in SCALA (or) functional programming paradigm/ Python / R,
Experience in big data technologies like Spark, Hive, Hadoop,
Experience in understanding business needs and translating to a data-science problem,
Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation,Python
Testing - DevOps Pipeline & Deployment, Prepare simulation script for stress test, Test for horizontal & vertical scalability, Test for integration with Google OCR, AWS Textract, Active Directory, User Management, Test for performance, User Journeys'
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