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 (Docker, Kubernetes), CI/CD tooling, and modern monitoring solutions
• Platform Knowledge You have Deep understanding of ML and LLM lifecycles, with the ability to design scalable, self-service platform capabilities that serve diverse engineering teams
• Motivation You have driven platform adoption across multiple teams and thrive on fostering change, automation, and innovation in fast-moving environments
• Communication You excel at explaining complex technical topics to diverse audiences and influencing decision-making in an international environment
• Mindset You are solution-oriented and continuously learning you keep up to date with the latest trends in ML, LLMs, and Agentic AI and bring that knowledge into your day-to-day work

WHAT WE OFFER

• Grow Further, Go Further Advance your skills and unlock your potential with our Education Assistance Program
• Balance Your Career Benefit from a hybrid work environment complemented by flexible working hours
• Fuel Your Day Great work deserves great fuel. Enjoy meal benefits that keep you energized and ready to bring your A-game
• Your Wellness Matters We're committed to your well-being through comprehensive insurance, wellness programs, health checkups, and fitness benefits
• Recognition That Counts We create a culture of appreciation, rewarding your impact through referral incentives and loyalty perks as you advance with us
• Growing Families, Growing Joy As your family grows, we're here to celebrate with a special newborn gift for your little one