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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

6Open Positions

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  • IT Working Student – Junior Machine Learning Engineer

    Julius Baer
    Zurich, Switzerland
    Found 1 month ago
  • S

    Working Student - Solution Consultant - French Speaker (m/f/d)

    speexx
    Munich, Germany
    Found 2 days ago
  • Intern Solution Engineering

    Salesforce
    Milan, Italy
    Found 2 weeks ago
  • Solutions Engineer Intern

    Cloudflare
    London, United Kingdom
    Found 3 weeks ago
  • Solution Engineer Intern

    Infobip
    Zagreb, Croatia
    Found 2 months ago
  • INTERNSHIP - Solution Engineer

    netatmo
    Lyon, France
    Found 2 months ago
  • Solutions Engineer intern

    Bigblue
    Paris, France
    Found 5 months ago

IT Working Student – Junior Machine Learning Engineer

Julius Baer
Found 1 month ago
Location
Zurich, Switzerland
Time
Full-time
Work Mode
Not disclosed
Salary
60 - 100%
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Machine Learning
  • Deep Learning
  • Semantic Search
  • foundation models
  • MLOps pipeline
  • Data Science
  • Engineering

Soft Skills

  • motivation to learn new things
  • technical and practical knowledge

Job Description

We are working on in-house, custom Machine Learning solutions for a variety of tasks, mainly in Natural Language Processing. As part of your internship, you will: * Help with designing, implementing, and deploying cutting edge Deep Learning models for specific problems such as Semantic Search * Work on building foundation models on proprietary data * Help us build up in house AI capabilities such as setting up MLOps pipeline * Tackle various Data Science and Engineering related challenges How you learn with us: * On the job in a project and from a senior expert mentored and coached * If this great opportunity appeals to you, then you should definitely apply to us, and we will convince you in an interview why you should do your internship with us

Requirements

  • A current ongoing bachelor’s or master's degree study in a technical field (university, ETH, FH)
  • A maximum of two semesters left until your graduation
  • A huge portion of motivation to learn new things
  • In the best case already some technical and practical knowledge

Related Field

  • AI & Machine Learning

Related Subfield

  • Deep Learning
▶Apply Now

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