- Conceptualize, Architect, Design, Develop, Productionize & Improve Models as part of the Platform Solution.
- Setup scalable pipelines and processes for data preprocessing/cleaning, feature extraction, dimensionality reduction, model building and serving.
- Utilize existing and newer algorithms to build the prediction and optimization models from the time series data.
- Collaborate with physicsbased modelling team members to pretrain the models before field deployment.
- Collaborate with frontend developers to integrate analytics.
- Entrepreneurial Leadership role, where in you Innovate every day and do things beyond your current capabilities.
- Skills
- Computer Vision, Machine Learning, Python, Keras, Scikitlearn, TensorFlow
- BTech/MTech/PhD in CS/ECE/Statistics or other relevant field from reputed Institutes. 4 to 10 years of Industrial experience.
- Experience in statistical timeseries analytics and forecasting: quartiles, ETS forecast, Holt-Winters, auto regressive techniques ARIMA/SARIMA, GARCH, hybrid GARCH-LSTM.
- Applications to sales/demand forecasting in retail, analytics for industrial IoT timeseries data is preferred.
- Experience in RNN/LSTM, Gradient Boosted Machines, SVM, Ensemble techniques.
- Experience in NoSQL DBs, Hadoop, analytics tools: Power BI, Tableau, etc.
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Description
The role is based at JP Nagar, Bangalore and work fromApache Spark Streaming, Storm etc., is preferred.
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