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- Aufgaben: Design and implement Deep Learning Pipelines using cutting-edge models.
- Arbeitgeber: Join ZAUBAR, a pioneer in location-based augmented reality tours.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and career advancement opportunities.
- Warum dieser Job: Be part of an innovative team making time travel interactive and immersive.
- Gewünschte Qualifikationen: 3+ years of experience with Deep Learning Pipelines and Azure.
- Andere Informationen: Bring your passion for machine learning and a portfolio of your work!
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Join to apply for the Generative Machine Learning Engineer role at ZAUBAR
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.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Generative Machine Learning Engineer Arbeitgeber: ZAUBAR
Kontaktperson:
ZAUBAR HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Generative Machine Learning Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Azure, Pytorch, and Terraform. Having hands-on experience or projects that showcase your skills with these tools will make you stand out.
✨Tip Number 2
Stay updated on the latest trends in AI and machine learning. Being able to discuss recent advancements or innovations during your interview will demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare to discuss your previous experiences with Deep Learning Pipelines in detail. Be ready to share specific challenges you faced and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of how you've worked effectively in teams. Since the role involves close collaboration with creative and product teams, demonstrating your ability to communicate and prioritize will be crucial.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Generative Machine Learning Engineer
Tipps für deine Bewerbung 🫡
Understand the Company: Familiarize yourself with ZAUBAR and their innovative approach to augmented reality. Highlight your understanding of their mission and how your skills align with their goals in your application.
Tailor Your CV: Make sure your CV emphasizes your experience with Deep Learning Pipelines, Azure, and any relevant projects. Use specific examples that demonstrate your expertise and problem-solving abilities in machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your motivation to work at ZAUBAR. Mention your familiarity with their tech stack and how you can contribute to their projects.
Include a Portfolio: Attach a portfolio of your work that includes examples of Deep Learning projects you've completed. This will provide tangible evidence of your skills and experience, making your application stand out.
Wie du dich auf ein Vorstellungsgespräch bei ZAUBAR vorbereitest
✨Showcase Your Deep Learning Expertise
Be prepared to discuss your experience with Deep Learning Pipelines in detail. Highlight specific projects where you've implemented cutting-edge models, and be ready to explain the challenges you faced and how you overcame them.
✨Familiarize Yourself with Azure
Since the role involves maintaining Azure infrastructure, make sure you understand its key features and services. Be ready to discuss how you've used Azure in previous projects, particularly in relation to machine learning and deployment.
✨Demonstrate Problem-Solving Skills
ZAUBAR values the ability to see through problems to their resolution. Prepare examples of complex issues you've encountered in your work and how you approached solving them. This will show your analytical thinking and resilience.
✨Engage with the Team's Vision
Research ZAUBAR's mission and recent projects. During the interview, express your enthusiasm for their innovative approach to augmented reality and how your skills can contribute to making immersive journeys a reality.
