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Open nowPosted today

Machine-Learning-Spezialist/in

job-room.ch97,677 open roles

Where
Zürich, ZH, Switzerland
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Your applicationOpen nowMachine-Learning-Spezialist/injob-room.ch · Zürich, ZH, Switzerland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on job-room.ch's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

9.1% of postings close within 7 days. Measured by our own scanner across the market. job-room.ch postings stay open a median of 5 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.1%7 days
  4. 15.5%14 days
  5. 34.0%30 days
This job: posted today

job-room.ch median: 5 days open

The posting

Für unseren Kunden, ein führendes europäisches Unternehmen der Konsumelektronik, suchen wir eine erfahrene Machine-Learning-Spezialistin oder einen erfahrenen Machine-Learning-Spezialisten.

## Aufgaben - Lösung wirkungsvoller Fragestellungen mit Machine Learning und grossen Datensätzen - Auf dem neuesten Stand der Forschung in Detection, Segmentation und Metric Learning bleiben - Mitwirkung in allen Phasen der Modellentwicklung: Datenanalyse, Prototyping, Test und Deployment

## Profil - Ausgezeichnete quantitative Programmierkenntnisse in Python und R - Gute SQL-Kenntnisse - Gute Kenntnisse in Datenvisualisierung (Tableau, Power BI) - Erfahrung mit Cloud-Plattformen (AWS, Azure, GCP) - Gute Kenntnisse und praktische Anwendung von Machine-Learning-Methoden und -Algorithmen - Erfahrung mit Machine-Learning-Bibliotheken für Python wie scikit-learn und pandas - Fundiertes Verständnis von Natural Language Processing (NLP) - Kenntnisse weiterer Programmiersprachen von Vorteil - Gute Kommunikationsfähigkeit in Englisch und Deutsch

## Unternehmen Consumer Technology

Bewerbung: online über Try&Hire, mit Ihrem Profil — https://tryandhire.io/ch-de/einsaetze/e/machine-learning-spezialist-in-tah-8mzvb/

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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on job-room.ch's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    job-room.ch's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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