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AI Developer

ZAUBAR

Berlin

Hybrid

EUR 60.000 - 80.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading technology company in Berlin is seeking an experienced Machine Learning Engineer to design and implement Deep Learning Pipelines using state-of-the-art models. The ideal candidate will manage Azure infrastructure and develop CI/CD pipelines. This role offers flexibility and career advancement in a dynamic, employee-focused environment.

Leistungen

Attractive salary
Flexible working hours
Option to work remotely
Avenues for career advancement

Qualifikationen

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

Aufgaben

  • 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 the latest developments in the AI field.
  • Prototype the pipelines and refine them with the team and clients until the final product.

Kenntnisse

Deep Learning Pipelines
Azure
Pytorch
CI/CD tools
Terraform
Jobbeschreibung

Innovative company ZAUBAR is bringing the metaverse to the streets with location-based augmented reality tours. Collaborating with prestigious German institutions, we’re making these immersive journeys a reality and soon, we’ll enable anyone to create, distribute, and monetize immersive tours. Backed by a team with strong AI, 3D UI, and journalism expertise, we’re turning time travel into an interactive experience.

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!

Tasks
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
Job Functions :
  • 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
Additional tasks will include :
  • Managing the AI inference backend, facilitating secure frontend requests
  • Designing and implementing database schema and serverless architectures
Requirements
  • 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
Benefits

We provide an attractive salary and benefits package, including flexible working hours, the option to work remotely, and avenues for career advancement. If you are a highly driven individual with a fervor for machine learning, please attach a portfolio of your work and we encourage you to reach out to us!

We’re a team of 18 to help Creators & brands to make meaningful AR experiences - with location‑based AR, own AI & NFT, great team and traction + Google partner.

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