Machine Learning Engineer - Ops

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Város
Lausanne
Cégnév
Understanding Recruitment
Céginfo
26 állás a cégnél
Cég címe
None None
Cég weboldal
None
Cég link
NoneCompany
Hirdetés aktiválása
Sept. 4, 2023, 5:56 a.m.
Hirdetés utoljára aktív
Sept. 15, 2023, 5:49 p.m.
Link
https://ch.indeed.com/viewjob?jk=fa40ede4fce7afb3
Farkas Kiss Endre Machine Learning Engineer - Ops bei  nudist vlogger
Pontszám
java
5
python
-10

Farkas Kiss Endre legjobb állása Understanding Recruitment

Understanding Recruitment email

Email tárgya

Bewerbung fur Web Developer - TypeScript/Wordpress

Levél szövege

Lieber Understanding Recruitment!

Ich möchte mich bei Ihrem Unternehmen als Machine Learning Engineer - Ops bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

BBBH14704_1693800002
Posted: 04/09/2023

€125000 - €135000 per annum + benefits

Lausanne, Vaud

Permanent

Machine Learning Engineer
Calling all Senior Machine Learning Engineers! Elevate your journey with us and be part of an exciting gaming adventure!
Responsibilities:
Shape intricate Machine Learning Engines to predict game economies. Elevate and optimize ML algorithms for time series and tabular data. Collaborate with a global squad of data wizards, engineers, and analysts. Drive live tests to expand predictions and supercharge optimization.
Please get in touch if you have some of this experience:
✔️ 5+ years of data engineering experience.
✔️ 1+ year as an ML engineering maestro.
✔️ 3+ years of senior-level expertise in Java, Scala, or Python development.
✔️ Proficiency in cutting-edge SW development practices, Docker, Kubernetes.
✔️ Bachelor's/Master's degree in computer science, engineering, or related fields.
✔️ Extensive proficiency in ML practices and Big Data tools.
What we use:
ZenML, Kubeflow, MLflow.
ML principles and frameworks (Tensorflow, PyTorch).
Insight intoScrum methodologies and GPU wizardry.
and help shape the future of mobile gaming!