Responsibilities
* Develop AI applications using state-of-the-art (Gen)AI technology.
* Translate business requests into AI applications.
* Pilot prototypes in production processes to demonstrate their value.
* Deploy prototypes to production to obtain reliable, scalable systems.
* Present your results in a clear manner and discuss them with multi-functional
project teams.
* Work in close collaboration with business experts (e.g. for requirement gathering,
data source identification, data and process understanding, feature engineering,
result validation, etc.), and with other AI engineers in the team (e.g. for knowledge
sharing).

Technical skills
* Strong expertise in Python
* Strong knowledge of state-of-the-art AI and statistical methods
* Proven proficiency with deploying scalable AI applications to production
* Experience using LLM's and commonly used libraries to interact with LLM's
(Langchain, Llamaindex, ...)
* Hands-on experience with Azure Cloud, and Azure Data & AI services
* Strong Expertise with version control (Git, GitHub)
* Expertise with CI/CD pipelines, and modern software development best practices
* Experience with Agentic AI frameworks (Langgraph, AutoGen, CrewAI, ...) is a big
plus
* Experience with MLOps tools and frameworks (e.g. MLflow, Kubeflow, TFX) is a big
plus

As a Data Scientist, you will play a key role in developing and delivering end-to-end
solutions for AI use cases. By taking up a use case right from the start you will help our
customers define and scope the problem, pick the right ML solution and technology as
well as ensure implementation, integration and deployment of your solution to
production. You will do so while ensuring that our internal governance processes,
technical excellence and best practices are respected. You will also collaborate with
other team members in knowledge sharing as well as continuously improving our way of
working.