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Staff MLOps Engineer
Munich, BY, Germany
Actively hiring, first seen by us 6 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and build the MLOps/LLMOps platform for classical ML and GenAI workloads
Architect CI/CD workflows and self-service tools for independent model deployment
Build and evolve the agentic platform on AWS Bedrock using LangGraph or similar
Translate requirements from data scientists and infrastructure teams into platform features
Set MLOps and LLMOps best practices through training, documentation and hands-on support
From the employer’s posting
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 empowering Data Scientists and ML Engineers to deploy models and agents independently
You build and evolve the Agentic Platform on AWS Bedrock utilizing frameworks like 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
Tools in this posting
- AWS
- Docker
- Kubernetes
- SageMaker
Source — Tool mentions in context
- You architect robust CI/CD workflows and self-service capabilities empowering Data Scientists and ML Engineers to deploy models and agents independently - You build and evolve the Agentic Platform on AWS Bedrock utilizing frameworks like LangGraph or comparable tools - You collaborate with Data Scientists, ML Engineers, and Infrastructure teams to translate requirements into scalable platform capabilities
- Experience You bring proven experience in MLOps, LLMOps, ML Engineering, or DevOps with a successful track record in production ML or GenAI platforms - Know-how You possess hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain or similar AI stacks - Skills You understand ML and LLM lifecycles and are skilled in containerization (Docker, Kubernetes), CI/CD tooling, and modern monitoring solutions
- Know-how You possess hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain or similar AI stacks - Skills You understand ML and LLM lifecycles and are skilled in containerization (Docker, Kubernetes), CI/CD tooling, and modern monitoring solutions - Motivation You have driven organizational platform adoption across multiple teams and thrive fostering change and innovation
Benefits in the posting
Full benefits wording- Extra benefits Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more
- Mobility boost We support you with a monthly mobility allowance of €20 per month for even more freedom
- Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered
From the employer’s posting.
About SIXT
We are a globally leading mobility service provider with a revenue of €4.3 billion and around 9,000 employees worldwide.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20266 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
SIXT is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down quickly
- 29% of open jobs were reposted
Your next step
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide? Then join our Data Science team and design and build scalable solutions for classical ML use cases and next-generation LLMOps workloads, directly influencing the experience of millions of customers and advancing SIXT’s AI capabilities. If you are passionate about innovative AI platforms and want to make an impact, apply now and become part of Team Orange in Pullach close to Munich.
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 empowering Data Scientists and ML Engineers to deploy models and agents independently
- You build and evolve the Agentic Platform on AWS Bedrock utilizing frameworks like 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 optimize infrastructure costs and observability by implementing efficient resource management and intelligent automation
YOUR SKILLS MATTER
- Experience You bring proven experience in MLOps, LLMOps, ML Engineering, or DevOps with a successful track record in production ML or GenAI platforms
- Know-how You possess hands-on expertise with AWS SageMaker, AWS Bedrock, LangGraph, LangChain or similar AI stacks
- Skills You understand ML and LLM lifecycles and are skilled in containerization (Docker, Kubernetes), CI/CD tooling, and modern monitoring solutions
- Motivation You have driven organizational platform adoption across multiple teams and thrive fostering change and innovation
- Communication You excel at explaining complex technical topics to diverse audiences and influencing decision-making in an international environment
- Background You have a solution-oriented mindset, love automation, and keep up-to-date with trends in ML, LLM, and Agentic AI
WHAT WE OFFER
- Extra benefits Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more
- Mobility boost We support you with a monthly mobility allowance of €20 per month for even more freedom
- Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered
- Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant
- Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours
- Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children
Additional Information
About us:
We are a globally leading mobility service provider with a revenue of €4.3 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 360,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 100 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!
Company Description
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Munich, BY, Germany
- Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant - Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours - Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting