Machine Learning Engineering Lead

hace 3 semanas


Barcelona, España ZF A tiempo completo

**What's Next? Join ZF**:
ZF is a global technology company supplying systems for passenger cars, commercial vehicles and industrial technology, enabling the next generation of mobility.

ZF allows vehicles to see, think and act. In the four technology domains of Vehicle Motion Control, Integrated Safety, Automated Driving, and Electric Mobility, ZF offers comprehensive product and software solutions for established vehicle manufacturers and newly emerging transport and mobility service providers. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate and enhancing safe mobility.

**Machine Learning Engineering Lead (M/F/d)**:

- Country/Region: ES- Location: Barcelona, ES, 08018Req ID 64636 Barcelona, Spain

**About the Team**:
We are looking for a new colleague in the Global Commercial Excellence department of ZF Aftermarket.

**What you can look forward to as Machine Learning Engineering Lead (M/F/d)**:
**Your profile Machine Learning Engineering Lead (M/F/d)**:

- Master's or Ph.D. in a relevant technical field, such as data engineering, computer science, or IT management
- Strong knowledge of DevOps practices and agile development methodologies
- Exceptional technical and project management skills
- Deep understanding of data governance and data quality principles

Contact

Julia Ibele

(+49) 7541 77963555

**What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company?**:
At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility.

Find out how we work at ZF:
**Job Segment**:Computer Science, QA, Quality Assurance, Project Manager, Learning, Technology, Quality, Human Resources



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