Design and development of end-to-end machine learning systems
Data exploration and visualization
Statistical analyses, correlation studies, impact assessment and causal analysis
Research, development and validation of machine learning and statistical learning models
Data processing in big data environments
Communication and presentation of results; preparation of reports (slides, Jupyter Notebooks)
Use of Kanban methodology.

Requirements

Must reside in Belo Horizonte, MG or the metropolitan area
Be between the 3rd and 6th semester of a degree in Computer Science or Engineering (Computer, Electrical, Control & Automation, Systems)
Programming knowledge (Python)
Basic statistics (statistical metrics and their meanings)
Basic machine learning models (correlation, classification, regression, etc.)
Nice to have: Python 3 and its main data libraries (numpy, pandas, scikit-learn)
Data manipulation (pandas DataFrames, SQL queries, etc.)
Version control (git)
Basic knowledge of generative AI
Intermediate English.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical analysisdata visualizationdata processingPythonbasic statisticsdata manipulationgenerative AISQLversion control

Soft Skills

communicationpresentationreport preparation