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Company hidden

Staff MLOps Engineer

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay €55K - 100K a year · our estimate

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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 the company’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.

YOURS TO OWN

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

Our mobility platform ONE combines our products the company rent (car rental), the company share (car sharing), the company ride (taxi, ride, and chauffeur services), and the company+ (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. At the company, 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

Requirements

  • Additional Information

Benefits

  • Extra benefits Enjoy discounts on the company rent, share, ride and the company+, 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 the company gym, various leisure activities like the gaming area or the company 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

Where you’d work

Part of the week in the office

About the company

Company hidden

  • Industry: Mobility

Office in Munich, Germany

Your chances

Likely still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 6 good signs
  • 1 red flag

Still hiring?

10 checks

Likely active

In its favour2

  • Still on the company's own careers site, checked 2 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

Against it1

  • Listed again after an earlier listing of the same role closedModerate evidence

How crowded?

5 checks

Low

In its favour4

  • In its Early Window: not on the big job boards yetStrong evidence
  • Hybrid in Munich: only people nearby can take itSlight evidence
  • Senior level: far fewer people qualifySlight evidence
1 moreFewer
  • Asks for LangChain, which only 2% of open roles doSlight evidence

Fits Me

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • AWS
  • Kubernetes
  • Docker
  • CI/CD
  • LLMs
  • LangChain
Seniority
Staff
Type
Full-time
Industry
Mobility
Specialty
ML
Region
Europe
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
Staff
Experience
6+ years
Tech stack
  • AWS
  • Kubernetes
  • Docker
  • CI/CD
  • LLMs
  • LangChain

Location

Work model
Hybrid
Region
Europe
Office
  • Munich, Germany

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
Mobility

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