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Machine Learning Engineer

Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    60.000 to 70.000€ Gross/Year
  • Location
    Berlin
  • Working Model
    Hybrid
  • Job Technologies

    Your role in the team

    1. As a Machine Learning Engineer, you will play a crucial role in driving innovation and implementing cutting-edge machine learning solutions. Join our dynamic team and contribute to the development of intelligent systems that solve complex problems and enhance our business capabilities.
    2. Your job’s key responsibilities are:
    3. Designing and implementing machine learning models, solutions, and pipelines to address business challenges and opportunities
    4. Collaborating with cross-functional teams to understand requirements, providing technical expertise, and delivering scalable and robust solutions
    5. Conducting research and evaluation of emerging machine learning techniques
    6. Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions
    7. Conducting direct client communication to understand their needs and tailor machine learning solutions accordingly

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    Responsibility Distribution

    • New Features

    • Maintenance, Bugfixing

    • Client Support

    • Documentation

    • Organisation

    • Meetings

    Our expectations of you

    Experience

    • 3+ years of experience in core machine learning work in the industry
    • Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS or Azure), including ready to use AI services, AutoML approaches, and custom model development
    • Proficiency in Generative AI/LLMs, with expertise in prompt engineering, embeddings, LangChain, vector databases, grounding, and other relevant concepts
    • Demonstrated ability to work independently on PoCs
    • Strong and assertive communication skills
    • Proven experience in research and evaluation of machine learning technologies
    • Extensive knowledge of Cloud (Gen)AI offerings on GCP
    • Knowledge of Docker and Kubernetes
    • Familiarity with CI/CD processes
    • A/B testing  expertise
    • Experience with implementing robust strategies for monitoring and maintaining machine learning models in a production environment
    • Passion for keeping up with industry trends and advancements in machine learning

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    Benefits

    Work-Life-Integration

    Job Locations

    Map of company locations
    • Location Berlin

      Location Berlin

      Kronenstraße 63

      10117 Berlin

      Germany

    Topics that you deal with on the job

    This is your employer

    NETCONOMY

    NETCONOMY

    Graz, Madrid, Belgrade, Novi Sad, Pörtschach, Graz, Graz, Zürich, Wien, Dortmund, Amsterdam, Berlin

    NETCONOMY is a leader in designing digital platforms and customer experience innovations, helping companies to identify and successfully capitalize on digital potential. Our flexible, scalable solutions are based on the latest technologies from SAP, Google Cloud, and Microsoft Azure. With over 20 years of experience and nearly 500 experts across Europe, we help our clients increase their innovation power and expand their core businesses into the digital world.

    Description

  • Company Size
    250+ Employees
  • Founding year
    2000
  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Hybrid
  • Industry
    Internet, IT, Telecommunication
  • Dev Reviews

    by devworkplaces.com

    Total

    (2 Reviews)
    4.0
    • Workingconditions

      4.2
    • Career Growth

      3.7
    • Culture

      4.5
    • Engineering

      3.8
    All Dev Reviews on devworkplaces.com
    Logo NETCONOMY

    Machine Learning Engineer

    Salary
    60.000 to 70.000€ Gross/Year
    Location
    Berlin
    Working Model
    Hybrid
    Easy Apply
    Easy Apply