I collaborate with data scientists to build optimize models, ensuring they perform efficiently and accurately. From generative AI and LLMs to production-grade ML pipelines, I’m at the heart of transforming cutting-edge research into production-ready solutions.
1. I lead the design, development, and deployment of AI models and ML pipelines
2. I optimize AI models for efficiency, accuracy, and scalability in production environments
3. I deliver reusable technical assets to accelerate the adoption of generative AI on Azure
4. I build and maintain production-ready ML pipelines for training and inference
5. I am familiar with MLOps and CI/CD principles
6. I collaborate cross-functionally with product, engineering, and business teams to align AI initiatives with strategic goals
7. I share best practices, code samples, tutorials, and internal knowledge sessions
Gewinnbeteiligung / Bonus / LVV, Kostenloses Parken, Flugvergünstigungen, Kantine (bezuschusst vom Arbeitgeber), Jobticket / Zuschuss ÖPNV, Diensthandy / ipad, Rabatte / Einkaufsmöglichkeiten, Mitarbeiter Events (Sommerfeste, Teilnahme an Sportwettkämpfen etc), Teilzeitmodelle, Mobiles Arbeiten möglich, Flexible Arbeitszeiten, Entwicklungsprogramme / Weiterbildungsmöglichkeiten, Mentoring, Fitnessstudio / Sportangebote / Betriebsfußball etc., kostenlose Snacks / Getränke
8. At least 5 years of experience in AI/ML engineering or deep learning model development
9. Proven hands-on experience with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain
10. Hands-on experience in deploying scalable AI solutions with Azure services in production
11. Experience with containerization and orchestration tools (Docker, Kubernetes)
12. Experience in driving Data & AI use cases from business value concept to production
13. Deep understanding of LLMs, NLP, computer vision, and generative AI techniques
14. Skills in embeddings, prompt engineering, and RAG pipelines
15. Very good command of English language