Aktiviere Job-Benachrichtigungen per E-Mail!

Machine Learning Ops Engineer

Journi GmbH

Wien

Hybrid

EUR 65 000 - 75 000

Vollzeit

Vor 20 Tagen

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

A leading tech company in Austria seeks an enthusiastic ML / ML Ops Engineer to enhance their leading printing app using AI. Responsibilities include developing data pipelines, optimizing models for deployment, and collaborating with teams to improve user experience. The role offers a competitive salary and various benefits such as flexible working hours, additional vacation days, and relocation support for non-EU candidates.

Leistungen

25 days vacation plus up to 5 extra days
Meal options
Public transport reimbursement
Pension contributions
Team events
Wellness activities
Language courses
MacBook provision

Qualifikationen

  • 3+ years of experience in ML, AI, or Data Science.
  • Strong Python skills for model debugging.
  • Experience in deploying ML models on mobile/web platforms.

Aufgaben

  • Enhance user experience with AI features in the printing app.
  • Design and develop data pipelines for various data types.
  • Build and maintain cloud ML infrastructure.

Kenntnisse

Python
Model compression
Model quantization
Problem-solving
Cross-functional collaboration

Ausbildung

Bachelor’s or Master’s degree in Computer Science

Tools

Docker
AWS
GCP

Jobbeschreibung

WHO ARE WE LOOKING FOR?

At Journi, a creative tech company and Austria's most innovative start-up of 2024, we’re building the world’s #1 most-downloaded printing app. Our app empowers customers to effortlessly create beautiful photo books and other print products. Using AI technology, we automatically create personalized designs based on the content our users want to print. Be part of a team of highly motivated and like-minded individuals who you can learn from—and who are excited to learn from you too!

We’re looking for an enthusiastic ML / ML Ops Engineer to play a key role in the entire ML lifecycle — from data collection and preprocessing to infrastructure management and full-stack deployment.

YOUR SKILLS
  • 3+ years of experience as an ML Engineer / AI Engineer / ML Ops Engineer / Data Scientist or similar role
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or related field
  • Strong Python skills and ability to investigate and debug models on backend (JVM) or mobile platforms (Swift/Kotlin)
  • Knowledge of model compression and quantization techniques
  • Experience deploying ML models on mobile and/or web platforms
  • Proficiency with Docker containerization
  • Experience with cloud platforms like AWS or GCP
  • Strong problem-solving skills and cross-functional collaboration ability
WHAT WE OFFER

We value our team and offer:

  • Competitive salary starting at EUR 65,000, depending on experience
  • Additional social benefits including 25 days vacation plus up to 5 extra days
  • A modern office with recreational facilities
  • Hybrid work model with flexible hours
  • Relocation support for non-EU candidates
  • Meal options, public transport reimbursement, pension contributions, team events, MacBook, wellness activities, language courses, and more
HOW TO APPLY

Please include your CV and cover letter. The application process includes an intro call, technical challenge, technical interview, and final leadership interview.

YOUR RESPONSIBILITIES
  • Enhance user experience with AI features in our top printing app
  • Design and develop data pipelines for structured and unstructured data
  • Build and maintain cloud ML infrastructure
  • Improve and tune existing models
  • Optimize models for mobile hardware
  • Convert models for deployment (ONNX, CoreML, etc.)
  • Deploy models as APIs or embedded modules
  • Collaborate with development teams for integration
  • Implement monitoring and feedback systems
WHO YOU ARE
NICE TO HAVE
  • Experience with genetic algorithms and optimization
  • Knowledge of reinforcement learning
  • Experience with frontend integration
  • Experience with computer vision tasks like image classification, detection, denoising, or saliency detection
Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.