Your job
- Maintaining and enhancing data science infrastructure for availability and scalability is part of your job
- As a Platform Engineer you manage deployments in Kubernetes with a focus on automation
- You automate machine learning workflows using tools like Jenkins, Flyte, Argo
- Designing monitoring solutions with Grafana and Prometheus for model performance analytics
- You deploy large machine learning models, optimizing performance
- You stay updated on new technologies to contribute to team expertise
Your skills
- Cross-functional team player with high quality awareness & strong analytical skills
- Independent and structured way of working paired with the drive to continuously grow and learn
- Proficiency in Python, Docker and Kubernetes; ability to learn new technologies quickly
- Completed education in Informatics and at least 3 years of professional experience with focus on AI/ML or related field
- Experience in deploying and managing large scale ML models, familiarity with CI/CD tools and monitoring solutions
- Very good English skills (written and spoken)
Our offer
- Privately owned, stably growing world market leader with 11 offices on 3 continents
- International context with global players as customers
- Cooperative, appreciative and respectful culture based on diversity, equal treatment and fair pay
- Personal training plan (MIC-Academy) and professional onboarding supported by your mentor
- Individual development and career opportunities
- Flexibility in a hybrid work environment allows you to combine your career and private life
Compensation
We are legally required to mention the compensation for this position. We offer a minimum salary of € 61.000 gross/year (38,5 hours/week, no All-in contracts) plus an employee bonus and numerous other benefits. Of course, we are adapting the compensation according to your experience and qualifications.
Become an active part in the global trade world!
Linz | Hagenberg | Salzburg | Vienna
