Job
Description
Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process Mandatory Key Skills Python,C++,Numpy,Pandas,Machine Learning,Deep Learning,Tensorflow,Pytorch,Model Tuning,Docker,Git,ETL,AI- Vision*
