AI & ML Engineer (m/f/d)

Luzerner Kantonalbank pursues a clear vision with its "LUKB30" strategy: We want to become the leading cantonal bank in the field of data analysis and artificial intelligence. In the Data, Analytics & AI Competence Centre, we shape the digital transformation of the bank. As an AI & ML Engineer, you drive the conception, development and operation of scalable ML & GenAI use cases based on the Azure Databricks platform.AI & ML Engineer (m/f/d)Your job at a glance What you achieve with us • ML & AI Development: Conception, development and scaling of ML models and AI use cases using internal data on our Azure Databricks platform. • System Integration: Seamless embedding of AI services into existing applications and business processes via APIs, event and data flows, CI/CD pipelines as well as appropriate operating models. • GenAI Quality & Evaluation: Systematic development and quality assurance of prompts, agent workflows, RAG retrieval, test sets and evaluation metrics (including hallucination control). • Business Partnership: Close collaboration with the specialist departments to translate professional requirements into sustainable, practical technical solutions. • Operation & Lifecycle Management: Monitoring, maintenance and continuous further development of existing ML and AI use cases in productive operation. • Platform & Governance: Active participation in governance and operational issues in the context of a modern enterprise data and AI platform. What you bring with you • Completed studies (FH/ETH/Uni) in Data Science, Computer Science, Business Informatics or a comparable technical qualification. • Practical experience in the development, integration and operation of ML or GenAI solutions (e.g. Scikit-Learn/XGBoost, Tensorflow / PyTorch, SQL, feature engineering for classical ML or RAG, prompt engineering, agent workflows, MLflow, vector databases for GenAI). • Sound knowledge of Python and SQL according to modern software engineering standards (clean code, unit/integration tests, code reviews), experience with data engineering (ETL/ELT, data modelling, APIs) as well as modern DevOps/MLOps practices (e.g. Git, CI/CD, Databricks asset bundles). Experience with banking data is a plus. • Experience with Azure Databricks; corresponding cloud or Databricks certifications are a plus. • Topics such as data protection, model security, guardrails and governance are a matter of course for you. Experience in the banking environment is an advantage. • Very good written and spoken German skills as well as enjoyment in exchange at the interface between IT and the specialist department. Your benefits with us More time for you With us, cantonal and regional public holidays are paid. Additionally, sabbaticals and extra holidays for service anniversaries await you. Flexible working Choose an individual working model and organise your working hours yourself. Family-friendly Benefit from generous maternity or paternity leave as well as additional family allowances. Strong pension provision With our company pension fund, you are on the safe side. Individual development We support you in your internal and external training and further education so that you stay up to date. Exclusive benefits Staff conditions on LUKB products and many external discounts save your wallet. Andrea Koller HR Business Partner +41 41 206 41 41