MLOps Engineer III

At SIXT, we are building the central MLOps/LLMOps Platform that supports Data Scientists and ML Engineers worldwide and we need engineers who can architect it at scale. As a MLOps Engineer in our Data Science team, you will design and build scalable solutions for both classical ML use cases and next-generation LLMOps and Agentic AI workloads, directly influencing the experience of millions of customers and advancing SIXT's AI capabilities. You will work at the cutting edge of platform engineering, in a high-ownership environment where your contributions shape how AI is built and deployed across the entire organisation. If you are passionate about innovative AI platforms and want to make a real impact, apply now and become part of Team Orange! YOUR ROLE AT SIXT You design and build the central MLOps/LLMOps Platform, covering the full lifecycle of classical ML and Agentic/GenAI workloads You architect robust CI/CD workflows and self-service capabilities that empower Data Scientists and ML Engineers to deploy models and agents independently You build and evolve the Agentic Platform on AWS Bedrock, utilising frameworks such as LangGraph or comparable tools You collaborate with Data Scientists, ML Engineers, and Infrastructure teams to translate requirements into scalable platform capabilities You establish and promote MLOps and LLMOps best practices through training, documentation, and hands-on support You optimise infrastructure costs and observability by implementing efficient resource management and intelligent automation YOUR SKILLS MATTER Education & Experience You have Bachelor's Engineering or Master's degree in Computer Science or a related discipline, with atleast 7 years of experience in MLOps, LLMOps, ML Engineering, or DevOps and a proven track record delivering production ML or GenAI platforms Tools & Stack You have hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain, or similar AI stacks, combined with strong skills in containerisation