AI DevOps Engineer (m/w/d) - LLM and Cloud Infrastruktur
Core
Building, scaling, and optimizing cloud infrastructure for modern AI systems, specifically Large Language Models (LLMs), ensuring efficient and secure operation.
Role type
Senior AI DevOps Engineer (MLOps)
Builds
Scalable, secure, and performant ML and LLM platforms
Domain
Artificial Intelligence / Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
DevOps, MLOps, LLMs, NLP, generative AI, Cloud platforms (AWS, GCP, Azure), Containerization (Docker, Kubernetes), Python, Bash, CI/CD tools, workflow automation
Preferred skills
Experience with training and inference optimization
Technologies
AWS, GCP, Azure, Docker, Kubernetes, Python, Bash
Responsibilities
Build, operate, and optimize cloud-based ML and LLM infrastructure; Implement CI/CD pipelines for ML models; Deploy and monitor Large Language Models; Collaborate with Data Science teams to optimize training and inference processes; Ensure scalability, security, and performance of the AI platform; Contribute to automation of ML workflows and DevOps standards
