Machine Learning Ops Engineer (AI)

Location: Vienna, Austria; on-site role with a hybrid model including 40% home office days

Salary: Annual gross salary starting at €65,000

Company

hirify.global develops an AI-powered printing app that helps more than 10 million users create personalized Photo Books and Prints.

What you will do

• Design and implement pipelines for collecting, cleaning, and preprocessing structured and unstructured data.
• Build, maintain, and optimize cloud-based machine learning infrastructure and model prototypes.
• Optimize models for mobile hardware constraints and convert them to formats such as ONNX and CoreML.
• Deploy models as APIs, services, or embedded backend and mobile modules.
• Collaborate with backend and frontend developers to integrate ML features into the product.
• Implement monitoring and feedback loops for deployed models.

Requirements

• 3+ years of experience as an ML Engineer, AI Engineer, MLOps Engineer, Data Scientist, or in a similar role.
• Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
• Strong Python skills and experience investigating and debugging models running on JVM backends or mobile platforms using Swift/Kotlin.
• Knowledge of model compression and quantization techniques, with experience deploying ML models on mobile platforms and/or the web.
• Proficiency with Docker and cloud compute resource management, especially AWS EC2 or GCP Compute Engine.
• Strong problem-solving skills and ability to work cross-functionally.

Nice to have

• Familiarity with genetic algorithms and optimization methods.
• Experience training models for image classification, object detection, image denoising, or saliency detection.
• Familiarity with reinforcement learning algorithms.

Culture & Benefits

• 25 vacation days per year, plus one additional day per year of tenure up to five extra days.
• Flexible hours with core hours from 10:00–16:00 Monday–Thursday and 10:00–14:00 Friday.
• Breakfast, coffee, tea, and fresh daily lunches in the in-house eatery.
• Public transport card reimbursement for Vienna.
• Yearly team-building trips, a company MacBook for personal use, weekly German lessons, and premium hirify.global product membership.

Hiring process

• 30-minute introductory call with the People & Culture Team.
• Two-hour technical challenge focused on algorithm development.
• Technical interview with the ML team followed by a one-hour final interview with the Leadership Team.