Mid-Level Data Engineer (Machine Learning)

Develop and maintain robust and scalable data pipelines (ETL/ELT), ensuring a continuous flow of quality data for our solutions. Develop, train, validate, and deploy Machine Learning models, with an emphasis on classification problems, to solve business challenges. Perform feature engineering, preparing and optimizing raw data for training predictive models. Implement routines for cleaning, transforming, and enriching data, focused on ensuring the consistency needed for the models. Collaborate with business and analysis teams to identify opportunities for applying Machine Learning, translating business requirements into modeling problems. Structure and serve data and model results in appropriate formats for consumption by dashboards, reports, and other applications. Monitor and optimize the performance of both data pipelines and Machine Learning models in production (MLOps). Keep up-to-date on best practices and new technologies in Data Engineering and Machine Learning.