Working Student in Machine Learning – Sustainability Focus
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Job Description
Working student in Machine Learning focusing on sustainability at pacemaker.ai. Supporting development of AI systems and Python data pipelines for carbon footprint calculations.
Responsibilities:
- Support in the development of AI systems.
- Optimize Python code for data pipelines.
- Perform data analysis and validation using SQL.
- Assist with data modeling and automation.
Requirements:
- Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, Physics, or a related field.
- Good Python skills and an understanding of machine learning fundamentals.
- Experience with Large Language Models (LLMs) or personal projects in this area.
- Good SQL skills for data analysis and ETL processes.
- Interest in sustainability topics.
- Excellent written and spoken English.
Benefits:
- Remote-first culture: ability to work up to 20 days per year from another EU country.
- Flexible working hours: structure your workday to suit your needs.
- Team Days: promoting exchange beyond day-to-day work.
- Equipment: powerful MacBook to support your daily work.
- Training: access to Udemy Pro courses for personal development.
- Company pension plan provided by thyssenkrupp.
- Bike leasing.
- Corporate benefits.
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