Staff MLOps Engineer (m/f/d)

Description

The team builds the central MLOps and LLMOps platform used by over 80 data scientists and ML engineers worldwide.

The work covers classical ML and next-generation LLMOps workloads, and it shapes the experience of millions of customers while advancing the company's AI capabilities.

The team is based in Pullach, near Munich.

The company is a globally leading mobility provider with €4.3 billion in revenue and around 9,000 employees. Its platform brings together car rental, car sharing, ride services and car subscriptions, giving access to 360,000 vehicles, 4,000 cooperation partners and around 5 million drivers worldwide. Through franchise partners it operates in more than 100 countries, with 2,000 rental stations.

Responsibilities

• Design and build the central MLOps and LLMOps platform across the full lifecycle of classical ML and agentic and GenAI workloads.
• Architect robust CI/CD workflows and self-service tools so data scientists and ML engineers can deploy models and agents on their own.
• Build and develop the agentic platform on AWS Bedrock, using LangGraph or comparable frameworks.
• Work with data scientists, ML engineers and infrastructure teams to turn their needs into scalable platform features.
• Set and spread MLOps and LLMOps practices through training, documentation and hands-on support.
• Lower infrastructure costs and improve observability through efficient resource management and smart automation.

Requirements

• Proven experience in MLOps, LLMOps, ML engineering or DevOps, with a track record of running production ML or GenAI platforms.
• Hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain or similar AI stacks.
• Understanding of ML and LLM lifecycles, plus skill in containerization (Docker, Kubernetes), CI/CD tooling and modern monitoring solutions.
• Experience driving platform adoption across several teams and a willingness to lead change and innovation.
• Ability to explain complex technical topics to varied audiences and influence decisions in an international environment.
• A solution-oriented mindset, a liking for automation, and up-to-date knowledge of ML, LLM and agentic AI trends.

Conditions

Hybrid working model with flexible hours.

30 days of vacation per year.

Based in Pullach, near Munich.

Benefits

• Discounts on the company's rental, car sharing, ride and subscription products, vehicle leasing offers, and exclusive partner deals for travel, tech, fashion and more.
• A monthly mobility allowance of €20.
• Contributions to your retirement plan and capital-forming benefits.
• Company gym, leisure activities such as a gaming area and a choir, and a high-quality employee restaurant.
• One day each year to volunteer at a charitable organization supporting children.