Drive experimentation, architecture and model deployment for high-visibility initiatives, working closely with global teams and influencing foundational decisions for our AI stack
Job Summary
Drive experimentation, architecture and model deployment for high-visibility initiatives, working closely with global teams and influencing foundational decisions for our AI stack.
Lead end to end development and deployment of ML models, LLMs, and agentic frameworks into production.
Establish LLMOps best practices, including monitoring, guardrails, model lifecycle management, and responsible AI guidelines.
Matching Summary
Drive experimentation, architecture and model deployment for high-visibility initiatives, working closely with global teams and influencing foundational decisions for our AI stack.
Salary
4 900 eur brutto / month
Skills & Requirements
Must-have
ML algorithms
generative AI
LLM architectures
agentic frameworks
Python
cloud platforms
MLOps practices
Nice-to-have
published research in ML/AI
advanced evaluation frameworks
ethical considerations for LLMs
collaboration with academics
shaping ML deployment at scale
Key Requirements
Master’s degree in data science or computer science