AI Engineer (m/w/d) Düsseldorf
Core
Develop scalable, production-ready machine learning models, end-to-end data pipelines, and robust AI solutions for enterprise-wide deployment.
Role type
Senior Machine Learning Engineer (MLOps & Production)
Builds
Production ML models, data pipelines, and integrated AI components for enterprise software architectures.
Domain
Enterprise AI / Machine Learning / MLOps
Deliverable
production ML models
Required skills
Machine Learning, MLOps, Data Pipeline Engineering, Model Deployment, Monitoring & Drift Detection, Python, SQL, Cloud Infrastructure, Containerization (Docker/Kubernetes), CI/CD, PyTorch, TensorFlow, scikit-learn
Preferred skills
NLP, Large Language Models (LLM), Prompt Engineering, Generative AI, Computer Vision, Predictive Analytics
Technologies
PyTorch, TensorFlow, scikit-learn, Docker, Kubernetes, Python, SQL, Git, REST APIs
Responsibilities
Design and maintain end-to-end ML workflows from data preparation to deployment; optimize model performance and inference speed; integrate AI models into existing software architectures; ensure data quality and model stability in production; document technical decisions and architectures; conduct code reviews and collaborate with software engineering and data teams.
Seniority
Senior, hands-on IC
