AI Data Science Developer

Job Summary

• Understand LG device data and derive insights
• Advanced Time Series Modelling
• Large Scale Sensor Data (with time series) Pre-processing Analytics
• Must be able to research code relevant research papers in AI/ML independently from scratch
• Statistical Reasoning
• Parameter Tuning and Optimization
• Domain Specific
• Edge computing - low resource AI computing
• ML/DL framework - Tensorflow, Pytorch, Keras, Scikit Learn
• Models - LSTM,GRU,CNN, ARIMA/SARIMA, XGBoost, LightGBM, Regression, Random Forest
• Python Libraries -Numpy, Pandas
• Good Programming Knowledge - Python, C++
• AI Concepts - Strong fundamentals working experience in Machine Learning (ML)
• Deep Learning (DL)
• Model Tuning, Optimization Verification
• Transfer Learning
• Excellent understanding of lower level fundamentals of deep learning models such as mathematics of layer details, probabilistics, normalization, backpropagation, and optimizers
• Dev tools (Git, Docker)
• Collaboration tools (Confluence, Jira)
• Linux, CUDA libraries

Requirements

• 2 to 5 years of experience.
• Job Location - Bangalore
• Job Type: Permanent

Skills

• Time Series Modelling
• Sensor Data Analytics
• TensorFlow
• PyTorch
• Keras
• Scikit-Learn
• LSTM
• Arima/sarima
• Python

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