Senior MLOps Engineer (m/f/d) at SIXT

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps Platform Design, ML Lifecycle Management, CI/CD Workflows, Self-Service Capabilities, AWS SageMaker AI, SageMaker Unified Studio, Pipelines, Model Registry, Endpoints, Feature Store, Containerization, Docker, Kubernetes, ML Monitoring, Observability, Cost Optimization

Industry

Travel Arrangements

Description

Company Description Job Description Are you ready to co-create the future of mobility with our Data Science team? Then apply today and work on designing, developing, and maintaining state-of-the-art machine learning models and optimization algorithms that improve the experience for millions of our customers and have a direct impact on our business results. Sounds interesting? Then apply now and join our journey as part of Team Orange at our headquarters in Pullach near Munich! YOUR ROLE AT SIXT You design and build our central MLOps Platform covering the complete ML lifecycle: data ingestion, feature engineering, training, deployment, monitoring, and retraining at scale You architect robust CI/CD workflows and self-service capabilities that empower data scientists to deploy models independently while maintaining security, compliance, and operational excellence You partner with Data Scientists, ML Engineers, and Infrastructure teams to translate requirements into platform capabilities, provide technical guidance, and drive seamless integration You establish and evangelize MLOps best practices across the organization, driving adoption through training, documentation, and hands-on support You optimize infrastructure costs and enhance observability by implementing efficient resource allocation, comprehensive monitoring, and intelligent automation that eliminates operational toil YOUR SKILLS MATTER Experience You have several years of experience in MLOps, ML Engineering, or DevOps with proven success building end-to-end MLOps platforms in production environments Tools You have deep hands-on expertise with AWS SageMaker AI & SageMaker Unified Studio, including pipelines, model registry, endpoints, and feature store Know-how You possess a solid understanding of the ML lifecycle and experience with containerization (Docker, Kubernetes), CI/CD tools, and ML monitoring/observability Background You have a demonstrated track record driving organizational adoption of new platforms and processes across multiple teams Communication You can articulate complex technical concepts to both technical and non-technical stakeholders and influence decision-making 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 €4.00 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 350,000 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 110 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! Department: TECH & Engineering Legal Entity: Sixt SE

Responsibilities

The role involves designing and building a central MLOps Platform covering the entire ML lifecycle, from data ingestion to retraining at scale. This includes architecting robust CI/CD workflows and self-service capabilities to empower data scientists while ensuring security and operational excellence.