Machine Learning Ops Enginer
- Város
- Lausanne
- Cégnév
- Understanding Recruitment
- Céginfo
- 26 állás a cégnél
- Cég címe
- None None
- Cég weboldal
- None
- Cég link
- NoneCompany
- Hirdetés aktiválása
- Sept. 11, 2023, 11:57 a.m.
- Hirdetés utoljára aktív
- Sept. 15, 2023, 5:49 p.m.
- Link
- https://ch.indeed.com/viewjob?jk=e3538701fb42f89c

- 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 Ops Enginer 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_1694412773
Posted: 11/09/2023
€125000 - €135000 per annum + benefits
Lausanne, Vaud
Permanent
Machine Learning Ops Enginer
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!