Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 65.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du KI-gesteuerte Funktionen für die weltweit führende Druck-App, optimierst ML-Modelle für mobile Plattformen und setzt ML-Modelle in APIs und Diensten um.
Job Technologien
Deine Rolle im Team
- Enhance the user experience with AI-powered features in the number 1 printing app in the world, enabling customers to create personalized print products with minimal effort.
- Design and implement data pipelines to collect, clean, and preprocess structured and unstructured data.
- Build and maintain cloud-based ML infrastructure, and improve and tune existing model prototypes.
- Optimize machine learning models for mobile hardware constraints and convert them to appropriate formats (ONNX, CoreML, etc.) based on deployment targets.
- Deploy models as APIs, services, or embedded modules into the backend, collaborating with backend and frontend developers to ensure seamless integration.
- Implement monitoring and feedback loops for deployed models.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in Computer Science, Mathematics, or a related field.
Qualifikationen
- Strong Python programming skills and ability to investigate & debug issues with models running on backend (JVM) or mobile platforms (Swift/Kotlin).
- Knowledge of model compression and quantization techniques.
- Proficient in containerization with Docker.
- Strong problem-solving skills and the ability to work cross-functionally.
- Familiarity with genetic algorithms and methods of their optimization.
- Familiarity with reinforcement learning algorithms.
Erfahrung
- 3+ years of experience as an ML Engineer / AI Engineer / ML Ops Engineer / Data Scientist / another role with similar responsibilities.
- Experience deploying ML models on mobile platforms and/or web.
- Experience with cloud platforms and cloud compute resources management (especially AWS EC2 or GCP Compute Engine).
- Experience with training the models for the classical computer vision problems, like image classification, object detection, image denoising, and/or saliency detection.
Unser Angebot
- A fair annual gross salary starting at € 65,000. Our final offer depends on your experience and qualifications.
- Vacation goals: 25 days off per year, plus 1 extra day for every year you stick around (up to 5 extra days!).
- Work your way: enjoy a hybrid working model with 40% home office days and flexible hours (core hours: 10am-4pm Mo-Th; and 10am-2pm Fri).
- Daily fuel: breakfast, Italian-style coffee, tea, and fresh daily lunches in our in-house eatery, with options for most dietary preferences.
- Go places: we reimburse your public transport card for Vienna.
- Team first: join our yearly team-building Journi to exciting destinations.
- Mac your life easier: with a company MacBook, also available for personal use.
- Boost your German: weekly in-house lessons in small groups.
- Special treatment: enjoy a premium membership on all Journi products.
Benefits
Work-Life-Integration
Mehr Netto
Essen & Trinken
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
journi GmbH
Wien
Die Journi GmbH ist ein Startup, das Apps für iOS, Android und Web entwickelt, um persönliche Reiseerlebnisse unvergesslich zu machen. Unsere Apps wurden mehrfach mit Preisen ausgezeichnet, zum Beispiel von Mobile Monday oder dem Content Award. Sie waren bereits in den Medien vielfach positiv erwähnt, etwa von TNW, Adobe Behance oder Apple als beste neue App bzw. beste Reise-App.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Sport, Freizeit
Machine Learning Ops Engineer
- Gehalt
- ab 65.000 € Brutto/JahrNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 43.766 € netto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
