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    Machine Learning Engineer - Barcelona, España - ZF

    ZF
    ZF Barcelona, España

    hace 1 semana

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    Descripción

    What's Next? Join ZFZF 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 Engineer (m/f/d)

    Country/Region:
    ESLocation:Barcelona, ES,

    08018Req ID 65471 Barcelona, SpainAbout the Team:We are looking for a new colleague in the Global Commercial Excellence department of ZF Aftermarket.

    ZF is continue growing its advanced analytics competencies near "Districte de la innovació" to rocket thrust data innovation forward in an environment ideal for technological breakthroughs, passion for the sciences, entrepreneurial mindsets, and excellent work-life balance.

    The aftermarket environment is undergoing a massive shift in electrified, connected, intelligent and shared mobility, and we invite you to watch the following keynote speech from our Vice President outlining ZF's exciting new strategy in this space.

    What you can look forward to as Machine Learning Engineer (m/f/d):While the data scientists spend time understanding the business, prototyping algorithms, concerning about the statistical aspects of the model, ML Engineers take the prototype requirements and optimize the implementationEnsuring that ML models are implemented in the most efficient manner,

    so that the application can run smoothly and be easily understood in case of handover/bugsImproving the efficiency that the data scientists by building reusable pieces of code to make data science work more efficientLeading the way of setting coding standards and following the teammates so that the process gets better each timePartnering with IT to define ML model monitoringYour profile as Machine Learning Engineer (m/f/d):Degree in Computer science with emphasis in machine learning, or equivalent in experienceStrong Experience in Python, R and Spark (Pyspark is desirable)Deployment of ML models in production.

    Industry experience in agile development and DevOps (Docker, Kubernetes)Databases (ex. Oracle, AWS S3)Big Data platforms (ex. Databricks, GCP, Cloudera)Soft skills including working well in teams, dealing with uncertainty and ambiguity,
    flexibilityWhy you should choose ZF?Work-Life Balance and Modern Office in Barcelona: Enjoy flexible working hours and a modern office environment in the vibrant city of Barcelona, combining professional excellence with a fulfilling lifestyle

    Career Development Opportunities:
    Benefit from ZF's commitment to employee development through continuous learning programs, mentoring, and career advancement opportunities

    Collaborative Environment:

    At ZF, you'll be part of a dynamic team where collaboration and knowledge-sharing are encouraged, fostering personal and professional growth.

    Be part of our ZF team as Machine Learning Engineer (m/f/d) and apply nowContactDasa KomnenicWhat 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, Database, Oracle, Learning, Engineer, Technology, Engineering, Human Resources #J-18808-Ljbffr
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