Job
Description
Job Requirements : - 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 - Libraries : tensorflow, Keras, Numpy, sklearn, google-cloud-vision, pandas, imutils, ezdxf, imgaug, lxml, opencv-contrib-python-headless, scikit-image, matplotlib Job Responsibilities : - Review deployments, source codes, configurations, algorithms, models, repositories for completeness - Identify missing libraries/codes, dependencies, code documentation - Update technical documentation, code comments, etc - Integrate the code into DevOps - 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.
