Requirements

Expected technologies

Python

ML/Gen AI

GCP

BigQuery

MLOps

Terraform

SQL

Our requirements

• 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