AI Engineer (m/w/d) Frankfurt am Main, Hessen
Core
Develop production-ready machine learning models, AI applications, and robust data pipelines for operational enterprise use, ensuring end-to-end stability and scalability.
Role type
Senior Machine Learning Engineer (MLOps & Production)
Builds
Scalable ML models, AI applications, and data pipelines for enterprise operations
Domain
Enterprise Technology / Artificial Intelligence
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, REST API Integration
Preferred skills
NLP, Large Language Models (LLM), Generative AI, Computer Vision, Predictive Analytics
Technologies
PyTorch, TensorFlow, scikit-learn, Git, Kubernetes, Docker
Responsibilities
Design and manage end-to-end ML workflows from data preparation to deployment; integrate models into existing software architectures and cloud environments; optimize model performance, inference speed, and scalability; ensure data quality and technical documentation; conduct code reviews and collaborate with software engineering and data teams.
Seniority
Senior, hands-on IC
