14 beste Stellen als google cloud ai engineer (m/w/d) || genai in berlin, be – aktuell auf Personalsuche

Solutions Architect DACH
Nebius —Berlin
- Homeoffice
- Azure
- AWS
- Künstliche Intelligenz
Direkt bewerben
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acemate.ai —Berlin
- DevOps
- JavaScript
- Künstliche Intelligenz
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Staff Security Engineer, Product Security team
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Java
- Master
Direkt bewerben
Senior Backend Engineer - Go
Talon.One GmbH —Berlin
- Künstliche Intelligenz
Principal Solutions Architect
Nebius —Berlin
- Homeoffice
- Azure
- AWS
- Künstliche Intelligenz
Direkt bewerben
Technical Account Manager, German speaking
Wiz —Berlin
- Informatik
- DevOps
- Bachelor
Senior QA Engineer - Payments (All genders)
Distribusion Technologies —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Datenbanken
Direkt bewerben
6 Tage
Senior Backend Engineer - Ranking (all genders)
ABOUT YOU SE & Co. KG —Berlin
- 70.000 € – 85.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
1 Tag
Senior Finance Analyst (SaaS Revenue)
Shine —Berlin
- Microsoft Excel
- SQL
- Führungserfahrung
Direkt bewerben
7 Tage
Senior Backend Engineer
Talon.One —Berlin
- Wartung
- Java
- Künstliche Intelligenz
Direkt bewerben
12 Tage
Enterprise Account Executive - DACH
Chainguard —Berlin
- Homeoffice
- Azure
- Vertrieb
- AWS
Direkt bewerben
Senior Product Engineer, IMS (all genders)
Distribusion Technologies —Berlin
- Vollzeit
- Hybrides Arbeiten
- Bachelor
- Python
Direkt bewerben
Staff Software Engineer (Ruby or GOlang)
Workato —Berlin
- Azure
- Informatik
- DevOps
13 Std.
Staff Systems Engineer (d/f/m)
Taxfix —Berlin
- Vollzeit
- Hybrides Arbeiten
- Scripting
- Linux
- Python
- Flexible Arbeitszeiten
Direkt bewerben
2 Std.

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Solutions Architect DACH

Nebius
Berlin

Direkt bewerben

Details zur Stelle

Qualifikationen

TensorFlow
Azure
Kubernetes
Ansible
PyTorch
Konfigurationsmanagement
AWS
Terraform
Deep learning
Cloud-Computing
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You're welcome to work from any DACH country (Germany, Austria, Switzerland).

Your responsibilities will include:

Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have:

5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
Excellent communication skills, fluency in German or French preferred
Customer-centric mindset

It will be an added bonus if you have:

Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)

Benefits & Perks:

Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams

What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Direkt bewerben

Erweiterte Suche

google cloud ai engineer (m/w/d) || genai Jobs in berlin, be

Solutions Architect DACH

Senior Backend Engineer

Staff Security Engineer, Product Security team

Senior Backend Engineer - Go

Principal Solutions Architect

Technical Account Manager, German speaking

Senior QA Engineer - Payments (All genders)

Senior Backend Engineer - Ranking (all genders)

Senior Finance Analyst (SaaS Revenue)

Senior Backend Engineer

Enterprise Account Executive - DACH

Senior Product Engineer, IMS (all genders)

Staff Software Engineer (Ruby or GOlang)

Staff Systems Engineer (d/f/m)

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