Teams at Machine Learning Architects Basel

Consult on, design, implement and operate end-to-end data, ML and LLM solutions. Analyze requirements, build data and model pipelines, integrate and test models, implement MLOps/DataOps/DevOps best practices, advise clients, deliver concepts and training, and collaborate with stakeholders to productionalize AI systems.

Consult on and deliver end-to-end data and ML solutions: analyze requirements, design and implement data pipelines and platforms, integrate ML/LLM systems, apply DataOps/MLOps practices, enable reliability and scalability, develop solution blueprints, provide training, and act as a German-speaking technical advisor to clients.