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Urgent! ML Ops Engineer Job Opening In Berlin – Now Hiring 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.
We make use of the following stack:
Job Functions:
Additional tasks will include:
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!
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.
✨ Smart • Intelligent • Private • Secure
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Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in Berlin, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for ML Ops in Berlin, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 236 jobs in Germany and 45 jobs in Berlin. This comprehensive analysis highlights market share and opportunities for professionals in ML Ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! ZAUBAR is currently hiring and seeking a ML Ops Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ML Ops Engineer Jobs Berlin.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at ZAUBAR adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Ops Engineer Jobs Germany varies, but the pay scale is rated "Standard" in Berlin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Ops Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for ML Ops Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your ML Ops Engineer interview at ZAUBAR, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the ZAUBAR's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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