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Resaro

AI Internship, Working Student

Resaro

Intern/Working Student at Resaro assisting in the development and testing of machine learning models. Engaging with data scientists and AI engineers in a hybrid work setting.

Posted 7/8/2026internshipMunich • 🇩🇪 GermanyEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in developing and evaluating machine learning models, with strong skills in data preprocessing, analysis, and feature engineering. Familiarity with version control and unit testing frameworks enhances the ability to collaborate effectively in a fast-paced, multidisciplinary environment.

Highest-signal resume keywords
Machine Learning Model DevelopmentData PreprocessingPython ProgrammingVersion Control (Git)Unit Testing (pytest)

ATS Keywords

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Applicant Tracking System Keywords

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

Hard Skills
Machine LearningData AnalysisFeature EngineeringPythonData Preprocessing
Soft Skills
Problem SolvingAdaptabilityCollaborationCritical ThinkingPassion for Data
Tools & Technologies
GitPytest
Industry Keywords
Artificial IntelligenceData ScienceComputer ScienceMachine Learning

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Assist in developing, testing, and evaluating machine learning models.
  • Perform data preprocessing, analysis, and feature engineering to prepare datasets for model training and testing.
  • Work closely with senior data scientists and AI engineers to design testing frameworks for AI.

Requirements

What you’ll need
  • Currently pursuing a Bachelor’s or Masters degree in Computer Science, AI, Data Science, Machine Learning, or a related field.
  • Some programming skills in Python.
  • Familiarity with version control (Git) and unit testing frameworks (e.g., pytest).
  • Passion for working with data, models, and AI systems.
  • Think from first principles and want to tackle the most challenging technical problems from a multi-disciplinary approach e.g., design, engineering and social science.
  • Thrive in a fast-paced environment.
  • Navigate uncertainty by being willing to explore, while remaining laser focused on the mission at hand.

Benefits

Comp & perks
  • Flexible work arrangements