CareerPlan

AI Infrastructure Consultant (m/w/x)

Grafenrheinfeld, BAYERNRemoteFull-time2026-09-03 → 2026-10-30

Core

Designing, building, and maintaining scalable AI/ML infrastructure and workflows.

Role type

Senior IC AI Infrastructure Engineer (MLOps)

Builds

Scalable distributed ML applications, RAG systems, and agent-based workflows

Domain

AI/ML infrastructure, DevOps, Cloud-native systems

Deliverable

production ML models

Required skills

Python, Docker/Podman, CI/CD, Linux system administration, Kubernetes, Microservices architecture, RAG systems, Agent architectures, Embedding technologies, Vector databases

Preferred skills

Similarity Search, Vectors

Responsibilities

Containerize applications, build and maintain CI/CD pipelines, implement monitoring solutions, operate and scale Linux production environments, implement AI/ML workflows, develop microservice architectures, automate infrastructure provisioning, plan efficient AI platforms