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Reynosa, México Kimball Electronics A tiempo completo

ResponsibilitiesProcess, clean, and transform industrial data (time series).Develop predictive and machine learning models for predicting failures and errors in processes and equipment.Project future production and performance.Identify trends, anomalies, and root causes in data.Integrate and analyze data with tools such as Splunk.Deploy scalable solutions in cloud environments.Technical skillsLanguages: Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn); R (optional).Machine Learning & Deep Learning: regression, classification, clustering, anomaly detection, forecasting (ARIMA, Prophet, LSTM, neural networks with TensorFlow/PyTorch).Databases: SQL (PostgreSQL, SQL Server, MySQL); integration with PI System and Splunk.Environments and tools: Jupyter, RStudio, Git.Cloud: experience with Azure, AWS, or GCP.Solid knowledge of ETL, data cleaning, and data wrangling.Seniority levelEntry levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustries: Appliances, Electrical, and Electronics Manufacturing #J-18808-Ljbffr