Machine Learning Software Engineer (M/F/D)
- Város
- Wien
- Cégnév
- cyan AG
- Céginfo
- 4 állás a cégnél
- Cég címe
- None None
- Cég weboldal
- Cég link
- https://at.indeed.com/cmp/Cyan-Ag
- Hirdetés aktiválása
- Oct. 21, 2022, 5:58 p.m.
- Hirdetés utoljára aktív
- Dec. 10, 2022, 4:24 p.m.
- Link
- https://at.indeed.com/viewjob?jk=d4833d0b4f557327

- Vienna,Wien
- 15
- java
- 5
- javascript
- 5
- python
- -10
Farkas Kiss Endre legjobb állása cyan AG
Levél szövege
Lieber cyan AG!
Ich möchte mich bei Ihrem Unternehmen als Machine Learning Software 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
Be Part of Our Success Story
We are looking for a passionate and talented Machine Learning Software Engineer (m/f/d) who wants to drive the development of next generation security products using cutting-edge machine learning algorithms.
Integrated in a young, motivated and fast growing team of data scientists and research engineers, you will take machine learning projects from research stages to production and integrate data science solutions into the company’s flagship products.
Your Future Role
Work together with data scientists to transform data science prototypes from the research stage to production-ready ML services
Improve the end-to-end machine learning pipeline from data acquisition to model evaluation and deployment
Build a set of reusable tools to support the machine learning research and development process
Create data pipelines to automate the process of data processing and data labelling
Deploy machine learning models using container technologies on a large-scale infrastructure
Monitor and maintain the portfolio of operational machine learning models and components
Support technology adoption and integration of data science solutions into the company’s flagship products
Profile
Completed BSc or MSc studies in engineering (or natural sciences) preferably with a background in computer science
Ability to write robust code in Python
Profound knowledge of best-practices in software development
Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn)
Experience using container technologies (e.g. Docker) and knowledge of container-orchestration systems (e.g. Docker Swarm, Kubernetes)
Knowledge and experience with DevOps practices (e.g. test automation, deployment automation) and CI/CD tools (e.g. GitLab)
Familiarity with monitoring tools (e.g. Elastic Stack, Grafana, Prometheus, Graylog, …)
Knowledge of cloud platforms like Azure, AWS or GCP
Familiarity with Java, JavaScript, Ruby or Go
Practical experience with machine learning, deep learning and data mining
Knowledge and experience using MLOps methodologies and deployment tools (e.g. MLflow, Kubeflow, Seldon Core, Cortex, BentoML, …)
Practical experience with Big Data platforms like Spark
Knowledge in network security
Good communication skills and ability to work independently within an agile team
Fluent English skills, German is of advantage
We offer
The opportunity to use all your creativity and imagination in inventing innovate solutions for novel problems
A dynamic and international working environment
Pleasant working atmosphere in a young and highly motivated team
Flexible working hours and possibility of hybrid working mode
Modern office environment with a central location in Vienna
Appropriate and performance-related remuneration (monthly gross salary according to the collective agreement for employees of companies in the field of automatic data processing and information technology services of at least € 3,190.00 for the ST1 control level activity family). Of course, there is the possibility of overpayment depending on experience and qualifications.
We offer everyone the same opportunities, regardless of age, gender, ethnic or national origin, religion or sexual orientation.
If you think we should definitely get to know you, please send your CV including a letter of motivation and references to the e-mail address below: [email protected]
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