Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 60.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du ML-Systeme auf der Google Cloud Platform, führst MLOps-Praktiken ein und arbeitest an Generative AI-Projekten, während du Python zur Modellverwaltung und Integration von Echtzeitsystemen einsetzt.
Job Technologien
Deine Rolle im Team
- Join our Data & AI Tribe at Magenta and help shape a truly AI-driven culture on our Google Cloud Platform.
- In this role, you'll design, implement and maintain ML systems, implement MLOps best practices, and support hybrid cloud deployments.
- You'll contribute to impactful AI projects - including Generative AI and Agentic AI - leveraging your Python skills and experience with ML platforms, experiment tracking, and model lifecycle management.
- Design, implement, and maintain tools and reusable components that power our machine learning initiatives in the cloud.
- Scale up training and batch inference with ML frameworks (such as xgboost, scikit-learn) using Vertex AI, and implement real-time inference and GenAI systems.
- Contribute to internal Python libraries used across various data teams, packaged with pixi, and implement changes to our cookiecutter-based project templates.
- Implement and champion MLOps principles to ensure seamless integration, deployment, and monitoring of ML models using Gitlab CI for CI/CD and Dagster for workflow orchestration.
- Define and implement architecture for sending model outputs to various target systems, such as CRM tools (Marketing Cloud) or back-end services.
- Integrate and fine-tune cutting-edge Generative AI models for real-world applications.
Unsere Erwartungen an dich
Qualifikationen
- Do you have a proven ability to train, evaluate, and deploy ML models across diverse data types and production environments (batch or real-time) using tools like FastAPI, Docker, Kubernetes & Vertex AI and are you familiar with Generative AI technologies, including LLM integration (e.g., LangChain), RAG pipelines, and prompt engineering?
- Do you have strong collaboration and system design skills, with the ability to simplify complex architectures and work effectively in agile, cross-functional teams?
Erfahrung
- Do you have several years of experience in machine learning with end-to-end project ownership and strong Python and software engineering skills?
- Are you hands-on experienced in designing, building, and operating ML platforms (preferably on GCP), including model lifecycle management, experiment tracking, and orchestration tools?
- Do you have a very good understanding of MLOps practices, including CI/CD automation, observability, and monitoring for ML systems and are you ideally experienced in developing on Google Cloud Platform?
Benefits
Mehr Netto
- 🚎Verkehrsmittel-Zuschuss
- 🏝️Urlaubs- und Weihnachtsgeld
- 👷♂️Zusatzversicherung
- 💵Bonuszahlungen
- 🛍Mitarbeitervergünstigungen
- 👴🏻Betr. Altersvorsorge
Work-Life-Integration
Gesundheit, Fitness & Fun
Essen & Trinken
Job Standorte
Standort Wien
Österreich
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Magenta Telekom
Graz, Wien
Mit seinen über 4 Millionen Kunden ist T-Mobile Österreichs zweitgrößter Mobilfunkanbieter - und das bei einem Marktanteil von beachtlichen 32 Prozent! Die treibende Kraft des Unternehmens sind seine rund 1.300 Mitarbeiterinnen und Mitarbeiter, die mit Engagement, Kompetenz und Leidenschaft Tag für Tag an ihren Produkten arbeiten.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Machine Learning Engineer
- Gehalt
- ab 60.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
