AI Developer, Zaubar

Salary not provided

AWS

Docker

GCP

Terraform

Azure

PyTorch

Mid and Senior level

Remote from Canada, Europe, UK, US

GenAI-powered platform to augment reality at every location

Job no longer available

GenAI-powered platform to augment reality at every location

21-100 employees

B2BTravelArtificial IntelligenceDeep TechAugmented Reality

Job no longer available

Salary not provided

AWS

Docker

GCP

Terraform

Azure

PyTorch

Mid and Senior level

Remote from Canada, Europe, UK, US

21-100 employees

B2BTravelArtificial IntelligenceDeep TechAugmented Reality

Company mission

To bring the Metaverse to the streets and turn pre-existing multimedia content into an interactive and immersive augmented reality experience.

Job

Company

Role

Who you are

At least 3 years of experience with Deep Learning Pipelines
Knowledge and experience with Azure/AWS/GCP, preferably Azure
An approachable and friendly disposition
The ability to see through problems to their resolution

What the job involves

We're looking for an experienced Machine Learning Engineer to join our expanding team
Your role will encompass designing and implementing Deep Learning Pipelines using cutting-edge models, maintaining our Azure infrastructure, and establishing automated deployment pipelines
Staying abreast with AI trends and refining pipeline prototypes alongside the team and clients until perfected will also be key
In a fast-paced environment where your code is quickly deployed, you'll have a high degree of ownership over product code and work closely with the team and creative and product teams to prioritize issues and opportunities
At ZAUBAR, we provide everything needed to succeed in a dynamic, employee-centric structure where you are entrusted with making time travel possible
If you're a motivated individual with a passion for machine learning, we'd love to hear from you!
We make use of the following stack:
Cloud platform: Azure
Deep learning framework: Pytorch
CI/CD tools: Pytest, Github Actions, Docker
Infrastructure as code tool: Terraform
Develop and implement Deep Learning Pipelines using cutting-edge models
Sustain the infrastructure for Deep Learning inference on Azure
Build a CI/CD pipeline for automated deployment
Keep up-to-date with latest developments in the AI field
Prototype the pipelines and refine them with the team and clients until the final product
Managing the AI inference backend, facilitating secure frontend requests
Designing and implementing database schema and serverless architectures

Our take

Berlin-based ZAUBAR offers a diverse set of tools for creators to share stories using augmented reality. As avid supporters of the Metaverse, ZAUBAR’s mission is to bring it to the streets with multimedia content that is both interactive and immersive.

ZAUBAR can be used to create AR tours for brands, museums, sights and guides. It has attracted over 40 clients & partners, including Goethe-Institut, MIZ, and arte, and been used by over 200,000 people to date.

By focusing on the tourism industry, the company has identified a niche in the market. This is extremely important as, following the rise of the virtual reality industry, there are many companies competing for market share. The company is currently working on growing its team to consolidate its leading market position in the AR tourism space.

Freddie

Company Specialist at Welcome to the Jungle

Company

Company benefits

Company laptop
Felxible working hours
Free beverages
Pets allowed
Travel expenses compensation

Company HQ

Berlin, Germany

Leadership

Stefan Marx

(Co-Founder & CEO)

Previously the co-founder and CPO for Viorama, a social VR mobile app.

Anne-Sophie Panzer

(Co-Founder & Head of Creators)

Previously an editor for Xen.On TV, a German television studio.

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