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.
* Evaluate technical and economic feasibility of machine learning solutions.
* Operationalise successful prototypes in collaboration with data platform architects and data engineers.
* Support and mentor junior team members.
* Contribute to the development of the AI & Data Practice and support acquisition of customer projects.
* Represent Zühlke AI & Data through technical presentations at national conferences.
Qualifications
* Master’s degree (Uni, FH) in computer science or comparable education (e.g., mathematics). PhD in a machine learning related field is a plus.
* At least five years of professional/research experience in machine learning after graduation.
* Experience implementing machine learning solutions in industry; 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).
* Strong communication skills; comfortable in interdisciplinary teams and customer‑oriented work.
* German language skills required; very good English skills complete profile.
Benefits
* Flexible working hours and possibility to work from home.
* Safe & healthy workplace.
* Profit share scheme based on company success.
* Opportunity to collaborate with a global community in 16 offices worldwide.
* Commitment to professional development and growth opportunities.
Equal Employment Opportunity Statement
We welcome people from all backgrounds, regardless of gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.
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