Responsibilities
1. Design and Implement Models: Research, develop, and deploy advanced machine learning and deep learning models for high-impact, real-world applications.
2. Drive the ML Lifecycle: Own the end-to-end process from initial data exploration and high-quality dataset creation to model training, tuning, validation, and production deployment.
3. Establish MLOps: Implement robust MLOps practices, including Continuous Integration/Continuous Deployment (CI/CD), automated monitoring, containerization (e.g. With Docker) and infrastructure automation to ensure model reliability and scalability.
4. Drive Improvement & Learning: Focus on prompt engineering, quantitative output evaluation and data labeling strategies. Create strategies to assure high quality model outputs.
5. Collaborate and Integrate: Partner closely with Product Managers, Software Engineers, and QA teams to seamlessly integrate AI solutions into our core product ecosystem.
Requirements
6. Technical Proficiency: Strong expertise in Python and hands-on experience with core AI/ML libraries, specifically PyTorch, TensorFlow, and/or scikit-learn.
7. Foundational Knowledge: Solid theoretical and practical understanding of ML algorithms, deep learning architectures, statistical modeling, and data analysis principles.
8. Analytical Rigor: Excellent analytical and quantitative problem-solving skills, with a data-driven approach to decision-making and performance validation.
9. Effective Communication: Ability to clearly articulate complex technical concepts and model limitations to both technical peers (Software Engineers) and non-technical stakeholders (Product Managers and Leadership).
10. Proactive Collaboration: You are a team player who thrives in a cross-functional environment, actively seeking feedback and driving collaborative solutions for integration challenges.
11. Ownership Mentality: You take full ownership of your projects, from initial concept through deployment and ongoing monitoring in production.
What we offer
12. 28 days of well-deserved holidays
13. Onsite Onboarding in our HQ office for an optimal start
14. Great compensation and benefits packages including company achievement bonus and stock-based options, regular salary reviews
15. Public transport friendly office
16. Special terms for local gyms
17. Fresh organic fruits, muesli, soft drinks and snacks for free
18. Access to Corporate Benefits platform with many discounts
19. Regular Team events and company-wide celebrations
20. Open door policy, no dress code rules and frequent all Hands
21. Hybrid and Flexible work time with up to 50% home office
22. Work From Abroad Program allowing up to 40 days of work outside your contracting country
23. We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!
For this position, the collectively agreed minimum salary (IT Collective Agreement) is €3,843 gross per month based on a 38.5-hour work week. Naturally, a market-competitive overpayment is possible depending on your qualifications, professional experience, and overall expertise.