Machine Learning Engineer
in
76006, Karlsruhe, Baden-Württemberg, Deutschland
Verfasst am 2026-01-08
Unternehmen:
Chrono24 GmbH
Vollzeit
position Verfasst am 2026-01-08
Berufliche Spezialisierung:
-
IT/Informationstechnik
Maschinelles Lernen, Datenwissenschaftler, Künstliche Intelligenz Ingenieur
Stellenbeschreibung
About
As a developer in the field of machine learning, you ensure that ML techniques are applied in day-to-day software development offer you the opportunity to combine modern approaches with the rich data of a global marketplace. You’ll apply both cutting‑edge methods from research and proven techniques at production scale. With your help, users will see more relevant products, our merchants will be more successful, our teams will work more efficiently, and Chrono
24 will remain a safe marketplace for everyone.
24:
We believe in the power of diversity.
Diversity is our strength.
At Chrono
24, we embrace diversity because we believe it enriches not only our corporate culture but also our success. Be yourself – and let’s achieve great things together!
- As part of the agile Data Science/ML team, you’ll be responsible for software development around machine learning.
- You can expect a broad range of topics such as recommender systems, intelligent search, image and text classification, and time‑series forecasting. We use both classical machine learning approaches as well as deep learning and generative AI.
- You’ll have the opportunity to help shape the implementation and operationalization of our data‑driven projects based on modern MLOps concepts, both on‑premise and in the cloud.
- Large datasets from a global online marketplace with over 350,000 daily users, waiting to be explored further.
- You’re familiar with Python machine learning frameworks (e.g., scikit‑learn, pandas, PyTorch/Tensor Flow) and are also comfortable with SQL and object‑oriented programming.
- CNNs, NLP, and SVMs are familiar territory for you.
- Ideally, beyond theoretical knowledge, you’ve already run machine learning systems in production. Nice to have:
Docker, CI/CD, AWS, Snowflake. - You enjoy working autonomously, prototyping, and applying AI to create real value.
- Proactive thinking, teamwork, and self‑motivation are among your strengths.
- Not a luxury watch expert yet? No worries, we’ll teach you everything you need to know.
- No back doors:
We only offer permanent employment contracts. - 30 days of vacation per year.
- Working from HQ in Karlsruhe? Our kitchen conjures up a truly excellent, free meal for you every day.
- On December 24th and 31st, we’ll give you an additional day off.
- Work abroad for up to 20 days per year:
Working with a sea view? Yes, please!
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