Responsibilities
1. Develop and deploy advanced machine learning and deep learning models for real-world applications
2. Build and refine high-quality datasets, ensuring robustness and relevance
3. Conduct data analysis to guide model development and validate performance
4. Manage the end-to-end ML lifecycle — from training and tuning to validation and deployment
5. Implement MLOps practices (CI/CD, monitoring, automation)
6. Work with Python and core AI/ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
7. Containerize models using Docker for scalable deployment
8. For LLM applications: design and test prompts, evaluate outputs, and support data labeling and fine-tuning
9. Collaborate with Product Owners, Software Engineers, and QA teams to integrate AI models into production
Qualifications
10. Proven experience developing and deploying ML models in production
11. Strong Python skills and hands-on experience with PyTorch, TensorFlow, or scikit-learn
12. Solid understanding of ML algorithms, deep learning architectures, and statistical modeling
13. Experience with feature engineering, data preprocessing, and MLOps tools
14. Familiarity with Docker and CI/CD pipelines
15. Excellent analytical and problem-solving skills
What we offer
16. An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe ST1: EUR 3.843 gross/month)
17. 28 days of well-deserved holidays
18. Onsite Onboarding in our HQ office for an optimal start
19. Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
20. Public transport friendly office
21. Special terms for local gyms
22. Access to Corporate Benefits platform with many discounts
23. Regular Team events and company-wide celebrations
24. Open door policy, no dress code rules and frequent all Hands
25. Hybrid and Flexible work time with up to 50% home office
26. Work From Abroad Program allowing up to 40 days of work outside your contracting country
27. We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!