You have several years of professional experience in the development and operationalization of data and AI products, ideally with practical know-how in the field of GenAI
You have in-depth knowledge of Python and SQL (especially for data analysis, data engineering and ML/GenAI model development) and also practical experience with GCP services (BigQuery, Vertex AI, Cloud Storage, Cloud Run, ...) and Terraform
You posess a deep understanding and practical experience in managing ML models across the entire lifecycle (development, deployment, monitoring, optimization) using modern MLOps practices
You enjoy leading a team technically, motivating its members and promoting a collaborative way of working
Strong analytical skills, a structured way of working and a proactive approach to solving complex problems characterize you
Very good communication skills and fluency in English round off your profile
Your responsibilities
You develop and implement innovative data and AI products using classical machine learning methods and generative AI (GenAI)
You are responsible for the entire lifecycle of ML/GenAI models on the Google Cloud Platform (GCP), from conception and deployment to monitoring and optimization
As a subject matter expert, you are responsible for the technical leadership of an interdisciplinary team and establish best practices in the areas of data science, machine learning and MLOps
You work closely with business stakeholders to identify and evaluate potential for AI products and implement concrete solutions
You ensure the smooth operation of our AI systems, optimize existing applications and always stay up to date with the latest technology