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# Machine Learning Ops Engineer (all genders)

- **Company:** Journi GmbH
- **Location:** Wien, Austria
- **Experience:** Experienced
- **Salary:** €65,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Elastic Compute Cloud, Computer Vision, Cloud Computing, Software Debugging, Genetic Algorithm, Java Virtual Machine (JVM), Python (Programming Language), Machine Learning, Object Detection, Unstructured Data, Reinforcement Learning, Backend, Kotlin, Containerization, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Front End Software Development, Data Pipelines, Docker
- **Published:** August 29, 2026
- **Apply:** https://www.adzuna.at/details/5859744099

## About the Role

* 3+ years of experience as an ML Engineer / AI Engineer / ML Ops Engineer / Data Scientist / another role with similar responsibilities
 * Bachelor's or Master's degree in Computer Science, Mathematics, or a related field
 * 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
 * Experience deploying ML models on mobile platforms and/or web
 * Proficient in containerization with Docker
 * Experience with cloud platforms and cloud compute resources management (especially AWS EC2 or GCP Compute Engine)
 * Strong problem-solving skills and the ability to work cross-functionally

Nice-to-haves

 * Familiarity with genetic algorithms and methods of their optimization
 * Experience with training the models for the classical computer vision problems, like image classification, object detection, image denoising, and/or saliency detection
 * Familiarity with reinforcement learning algorithms

## Description

We're looking for an enthusiastic Machine Learning Ops Engineer to play a key role across the entire ML lifecycle - from data collection and preprocessing to infrastructure management and full-stack deployment.

You'll join an innovative team building new product concepts, exploring new business opportunities, and turning ML ideas into impactful solutions.

What you'll do

 * 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


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