Machine Learning Engineer (m|f|d)

Farkas Kiss Endre legjobb állása JOHANNES KEPLER UNIVERSITÄT

Bewerbung fur PhD Position (f/m/d): Visual Computing for Big Life Science Data (PraeDoc)

Levél szövege

Lieber JOHANNES KEPLER UNIVERSITÄT!

Ich möchte mich bei Ihrem Unternehmen als Machine Learning Engineer (m|f|d) 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

24.3.2023
Kategorie:
EDV
Bezahlung:
For legal reasons, we refer to the collective agreement minimum salary of EUR 3,455 (14 x per year) for this position. The actual salary depends on your qualification and experience, a willingness to overpay is given.
Ort:
Linz Stadt
Stunden:
Vollzeit
Kontaktperson:
Vera Eberdorfer
As Machine Learning Engineer, you are part of our product development team and significantly involved in the further and new development of our data science components in our product suite as well as our machine learning production environment. In addition, you independently deal with the latest trends in the industry, actively contribute to the conception of software architectures and work on their implementation.

Your tasks
You take care of the further development and monitoring of the machine learning models in the production environment.
You support various experiments to test current and future machine learning approaches.
You code and use Python as programming language.
You work on the system architecture of the data science components of our software solutions and optimize features in terms of scalability and performance.
You plan the next release together with us and have the mindset of a DevOps/MLOps.

Your profile
You successfully completed your studies in Computer Science or Software Engineering ideally with a focus on Data Science or Data Engineering.
You have at least 3 years of professional experience in software development and are familiar with Python.
You have a solid foundation in machine learning and statistics.
You are interested in the technologies we use such as Python, Java, Scala, Google Cloud, SQL, BigQuery, Spark, Docker, Kubernetes, etc.
You are fluent in English and enjoy working with different stakeholders.

We offer
As one of Austria's Best Employers 2022 and a certified Great Place To Work®, we are particularly proud of our corporate culture. In addition to an open and very appreciative interaction, we offer you:
Stunningly flexible working hours between 6:00 a.m. and 11:00 p.m.
The possibility of remote work 2 days per week
Further training opportunities as part of our smec Academy – career paths, competence development, online learning platform with more than 3,500 courses, and much more.
Sports and health offers as part of smec Health – own fitness room, e-bikes, fresh fruits every day and joint sports activities
Cool events like internal meetups, get-togethers and other social activities
Sponsoring of team events
Great employee referral program: for referrals you get an individual event or bonus as a thank you.
3-month onboarding program with buddy support
New MacBook with private use option
Weekly breakfast and lunch for all smecies
First-class locations in Linz, Vienna and London – good transport connections included
No dress code - come as you are! :-)

For legal reasons, we refer to the collective agreement minimum salary of EUR 3,455 (14 x per year) for this position. The actual salary depends on your qualification and experience, a willingness to overpay is given.