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Tech Stack
Tools & technologiesPython
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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningData AnalysisFeature EngineeringPythonData Preprocessing
Soft Skills
Problem SolvingAdaptabilityCollaborationCritical ThinkingPassion for Data
