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Munich, Bavaria, DEU
Actively hiring, first seen by us 5 hours agoThis position is a part-time role for a 9-month FTC (fixed term contract). Amazon Business team is looking for a AI/ML Engineer who is passionate about building great products for our Customers & Sellers. The AI/ML engineer will be based in Munich and must have entry level software and BI engineering experience involving designing, architecting and solving complex problems.
Employment type in the employer’s posting: part-timeFrom the employer’s posting
This entry-level position offers opportunities for growth and learning in a dynamic and collaborative environment
You will work closely with other engineers, product managers, and stakeholders to deliver high-quality software products.
Amazon Business team is looking for a AI/ML Engineer who is passionate about building great products for our Customers & Sellers. The AI/ML engineer will be based in Munich and must have entry level software and BI engineering experience involving designing, architecting and solving complex problems. Job Summary: You will be an integral part of our development team, responsible for designing, implementing, and maintaining software solutions to meet our company's needs. You will work closely with other engineers, product managers, and stakeholders to deliver high-quality software products. This entry-level position offers opportunities for growth and learning in a dynamic and collaborative environment. Responsibilities: Collaborate with cross-functional teams to understand requirements, develop specifications, and design software solutions. Write clean, maintainable, and efficient code using best practices. Participate in code reviews to ensure code quality and adherence to coding standards. Develop and maintain unit tests to validate software functionality. Troubleshoot, debug, and resolve software issues in a timely manner. Stay updated on emerging technologies and incorporate them into the development process when applicable. Document software designs, implementation details, and procedures. Assist in the deployment and configuration of software applications. Contribute to continuous improvement initiatives within the software development process. Basic qualifications
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience with SQL - Experience in the data/BI space Preferred qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Early. Similar jobs usually come down between day 8 and day 76.
From 5,425 similar postings that came down. Coming down is not always a hire.
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Responsibilities: Collaborate with cross-functional teams to understand requirements, develop specifications, and design software solutions. Write clean, maintainable, and efficient code using best practices. Participate in code reviews to ensure code quality and adherence to coding standards. Develop and maintain unit tests to validate software functionality. Troubleshoot, debug, and resolve software issues in a timely manner. Stay updated on emerging technologies and incorporate them into the development process when applicable. Document software designs, implementation details, and procedures. Assist in the deployment and configuration of software applications. Contribute to continuous improvement initiatives within the software development process. Basic qualifications - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience with SQL - Experience in the data/BI space Preferred qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis
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Yes. We’ve followed one other AI/ML Engineer, AB EU job there since November 2026. It is still up.
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Munich, Bavaria, DEU
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