Machine Learning Engineer

Data Scientist

Statistic.

• Solve complex organizational problems through Machine Learning solutions;

• ETL processes for data integration and data cleaning;

• Support and enhancement of Language Models, Classification, Regression, and Clusterization Models;

• Application of scalable solutions developing end-to-end approaches that are explainable to the final customers;

• Knowledge of Database queries to extract data and provide insights about the company from the datalake;

• Implementation of Data Science pipelines using Cloud Computing.

Skills: Azure Data Lake · Azure Databricks · Spark · Pandas · Git · GitHub · GNU/Linux · Python · Machine Learning · Linux · Scikit-Learn