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AI Developer

TN Germany

Berlin

Hybrid

EUR 65.000 - 85.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

An innovative company in Berlin is seeking an experienced Machine Learning Engineer to design and implement Deep Learning Pipelines. You will work with cutting-edge technology in a dynamic environment, contributing to location-based augmented reality experiences. Flexible hours and remote work options are available.

Leistungen

Flexible working hours
Remote work option
Career advancement opportunities

Qualifikationen

  • At least 3 years of experience with Deep Learning Pipelines.
  • Knowledge and experience with Azure/AWS/GCP, preferably Azure.

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.

Kenntnisse

Deep Learning
Machine Learning
Problem Solving

Tools

Pytorch
Terraform
Docker
Github Actions
Azure

Jobbeschreibung

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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:

  • 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

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, we encourage you to reach out to us!

  • Please attach a portfolio of your work.

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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