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, we encourage you to reach out to us!
Please attach a portfolio of your work.
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ML Ops Engineer Arbeitgeber: Talantir
findIQ ist ein schnell wachsendes Tech-Startup aus der Region Ostwestfalen-Lippe, das sich der digitalen Transformation im industriellen Maschinen- und Anlagendienst verschrieben hat. Als Arbeitgeber bieten wir eine unternehmerische und kollaborative Kultur in einem kleinen, vielfältigen Team, wo Ideen geschätzt werden und die Ausführung zählt. Mit flexiblen Arbeitsmöglichkeiten, individueller Entwicklung und einem attraktiven Gehalt sind wir bestrebt, unseren Mitarbeitern die besten Voraussetzungen zu bieten, um persönlich und beruflich zu wachsen.
