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Data Scientist - Optimus (Deep Learning / Reinforcement Learning)

We are making an Artificial Intelligence and Internet of Things solution to make our buildings, offices, hotels, hospitals, malls, and factories more energy-efficient and more reliable. We aim to provide a user-friendly solution to our client which saves on their monthly energy bill and provide predictive maintenance for their critical machines. 






  • Architect, design, own, and execute the development strategy for Optimus, Bert proprietary distributed AI platform. 

  • Setup scalable pipelines and processes for data pre-processing/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 physics-based modeling team members to pre-train the models before field deployment.

  • Collaborate with front-end developers to integrate analytics. 

  • Entrepreneurial Leadership role, wherein you Innovate every day and do things beyond your current capabilities. 

Requirements and Skills

  • Experience: BTech/MTech/MS/PhD in CS/ECE/Statistics or other relevant field from reputed Institutes. 2 to 8 years of Industrial experience. 

  • Experience in statistical time-series analytics and forecasting: quartiles,

  • ETS forecast, Holt-Winters, autoregressive techniques ARIMA/SARIMA, GARCH, hybrid GARCH-LSTM. 

  • Applications to sales/demand forecasting in retail, analytics for industrial IoT time-series data is preferred.

  • Experience in RNN/LSTM, Gradient Boosted Machines, SVM, Ensemble techniques.

  • Experience in NoSQL DBs, Hadoop, analytics tools: Power BI, Tableau, etc., and data pipelines for ML: Apache Spark Streaming, Storm, Flink, etc., is preferred.

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