Logo FERCHAU Engineering GmbH

Big Data Engineer

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Leipzig
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop methods for Machine Learning and Big Data, build efficient data pipelines, train neural networks, and integrate AI algorithms into various systems.

    Job Technologies

    Your role in the team

    • Development of methods and algorithms for Machine Learning, Deep Learning, and Big Data.
    • Data preparation and development of Big Data pipelines for efficient processing.
    • Training, validation, and securing of neural networks.
    • Integration of AI algorithms into vehicle or virtual environments.
    • Industrialization and scaling of AI solutions.
    • Monitoring and performance optimization in operations.

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    Our expectations of you

    Education

    • Completed degree in Computer Science, Data Science, or related fields, or several years of experience working with large datasets.

    Qualifications

    • Proficient in machine learning methods and data mining techniques.
    • Fluent German skills (C1) and good English skills.

    Experience

    • Very good knowledge of Python and R as well as experience with Big Data frameworks (e.g., Hadoop, Spark).
    • Experience in data modeling, ETL processes, and building data architectures.

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    Benefits

    More net

    Health, Fitness & Fun

    Work-Life-Integration

    Topics that you deal with on the job

    Job Locations

    • Location Leipzig

      Sachsen

      Germany

    This is your employer

    FERCHAU Engineering GmbH

    FERCHAU Engineering GmbH

    Description

  • Company Size
    250+ Employees
  • Company Type
    Recruiting Agency
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Recruitment Agency
  • Logo FERCHAU Engineering GmbH

    Big Data Engineer

    Location
    Leipzig
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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