Das ist der Job
Evaluate technical and economic feasibility of machine learning solutions.
Darum lohnt es sich
Support and mentor junior team members. Strong communication skills; comfortable in interdisciplinary teams and customer‑oriented work. Benefits Flexible working hours and possibility to work from home.
Responsibilities Take responsibility and technical leadership in customer projects across various industries (defining methodological approach, developing use cases, advising customers, presenting and explaining results). Lead the development of machine learning solutions: data preparation, modelling, method selection, evaluation, implementation.
Operationalise successful prototypes in collaboration with data platform architects and data engineers. Contribute to the development of the AI experience in professional services is an advantage.
Solid and broad knowledge in machine learning, in‑depth knowledge in an application domain (e.g., large language models, computer vision) and good knowledge in statistics. Proficient in the Python machine learning stack (NumPy, pandas, scikit‑learn, PyTorch).
Experience in software engineering and familiarity with database systems (relational/NoSQL). Familiarity with a major cloud provider (Azure, AWS, GCP) and understanding of MLOps concepts (training, operationalising, containerisation, experiment tracking, data versioning). German language skills required; very good English skills complete profile.
