Machine Learning Ops Engineer (all genders)

Neara

Wien

Hybrid

EUR 59,000 - 72,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Hybrid work model
MacBook provided
German lessons
Lunch benefits
Public transport subsidy in Vienna
Team events

Job summary

Journi is hiring a Machine Learning Ops Engineer to drive the ML lifecycle from data collection to deployment. You will build data pipelines, maintain cloud-based ML infrastructure, and optimize models for mobile and backend integration.

You'll work with a cross-functional team to deliver AI-powered features in our top-rated printing app, with a hybrid work model and strong social benefits. A Bachelor’s or Master’s in CS/Math and hands-on Python/Docker experience are required.

Qualifications

  • 3+ years of experience in ML/AI/ML Ops roles.
  • 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 on backend (JVM) or mobile (Swift/Kotlin).
  • Knowledge of model compression and quantization techniques.

Responsibilities

  • Enhance the user experience with AI-powered features in the world's leading printing app.
  • Design and implement data pipelines to collect, clean, and preprocess data.
  • Build and maintain cloud-based ML infrastructure and improve model prototypes.
  • Optimize models for mobile hardware and convert them to ONNX/CoreML formats as needed.
  • Deploy models as APIs, services, or embedded modules into the backend.
  • Implement monitoring and feedback loops for deployed models.

Skills

Python
ML Ops
Docker
Cloud (AWS/GCP)
Model compression
Swift/Kotlin

Education

Bachelor's or Master's in CS/Math

Tools

AWS EC2
GCP Compute Engine
ONNX/CoreML

Job description

We love the magic of memory keeping

At Journi, we're on a mission to build the world's most-downloaded printing app.

With over 10 million users worldwide, we help people turn their favorite moments into beautifully designed Photo Books and Prints. Our smart AI makes the process fast, simple, and joyful, so our users can spend less time editing and more time reliving their best stories.

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

Your bag of tricks
  • 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

What we offer

A happy team makes for a happy workplace. We wouldn't be able to do what we do without our team, and that's why we offer:

  • A fair annual gross salary starting at € 65,000. Our final offer depends on your experience and qualifications.

Plus, a bunch of awesome social benefits, such as:

  • 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

... and more!

What to expect after you apply
  1. Intro Call with the People & Culture Team (30 min)

  2. Technical challenge - algorithm development (2 h)

  3. Technical interview with the ML team (1.5 h)

  4. Final Interview with the Leadership Team (1 h)

About us

Everyone is welcome at Journi

No matter your background, identity, or story, if you're exceptional at what you do, there's a place for you here. We believe that an inclusive team is a stronger team, and we want everyone to feel respected and understood from the moment they join us.

Turning digital memories into something you can hold

Our goal is simple: to make it effortless for you to preserve the memories you cherish. By combining smart technology with a love for design, we turn "photo chaos" into high-quality keepsakes in seconds. You capture the moments; we help you keep them forever.

A global team with heart

More than 10 million people around the world already use Journi to create their Photo Books, and we're just getting started. We're a global team of 100+ people united in Vienna, thinking big and building with care. We work hard, but we never take ourselves too seriously. We keep things informal, friendly, and always on our users' side.

If you're excited to solve meaningful challenges and shape a product loved by millions, we'd love to hear from you.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Product Analyst (all genders)
Product Analyst (all genders)

Neara • Wien

On-site
EUR 57,000 - 69,000
Hybrid working model
25 days of vacation plus up to 5 extra
MacBook provided
+1
Backend Engineering Intern (all genders)
Backend Engineering Intern (all genders)

Journi GmbH • Wien

Hybrid
EUR 20,000 - 24,000
Hybrid work model (40% home office)
Vienna transport card covered
Junior Accounting & Finance Manager (min. 25h/week) (all genders)
Junior Accounting & Finance Manager (min. 25h/week) (all genders)

Journi GmbH • Wien

Hybrid
EUR 34,000 - 42,000
25 days vacation
Hybrid work model
Daily meals & coffee
+5
Mobile Growth Lead (New App) (all genders)
Mobile Growth Lead (New App) (all genders)

Journi • Wien

Hybrid
EUR 63,000 - 77,000
25 days vacation
Hybrid work model (40% home office)
MacBook for work and personal use
+2
Mobile Growth Lead (New App) (all genders)
Mobile Growth Lead (New App) (all genders)

Journi GmbH • Wien

Hybrid
EUR 63,000 - 77,000
Vacation goals: 25 days + up to 5 more
Hybrid work model 40% home office
MacBook provided
+4
Senior UX/CX Researcher - Parental Leave Cover (all genders)
Senior UX/CX Researcher - Parental Leave Cover (all genders)

Neara • Wien

On-site
EUR 55,000 - 67,000
Vacation 25 days + 1 per year up to 5
Hybrid work 40% home office
Daily meals in in-house eatery
+1
Junior Accounting & Finance Manager (min. 25h/week) (all genders)
Junior Accounting & Finance Manager (min. 25h/week) (all genders)

Journi • Wien

Hybrid
EUR 34,000 - 42,000
Vacation 25 days + 1 extra day per yr
Hybrid work with 40% home office
Daily meals in in-house eatery
+5
Office & Facility Manager (all genders)
Office & Facility Manager (all genders)

Journi GmbH • Wien

Hybrid
EUR 36,000 - 44,000
Urlaubstage 25 plus Extra-Tag je Jahr
Hybrid-Arbeit 40% Homeoffice
Frühstück & Lunch im Büro
+6
Office & Facility Manager (all genders)
Office & Facility Manager (all genders)

Journi • Wien

On-site
EUR 36,000 - 44,000
40% Homeoffice
25 Urlaubstage pro Jahr
MacBook zur Privatnutzung
+5
Jumio: Machine Learning Engineer Jumio
Jumio: Machine Learning Engineer Jumio

Mosaec • Austria

Hybrid
EUR 85,000 - 120,000