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

Key Customers Solutions Architect EMEA
Nebius —Berlin
- Homeoffice
- Azure
- AWS
- Projektmanagement
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Staff Security Engineer, Product Security team
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Java
- Master
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Senior Backend Engineer - Sorting (all genders)
ABOUT YOU SE & Co. KG —Berlin
- 70.000 € – 85.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Master
- SQL
- AWS
Direkt bewerben
Staff Engineer - API & Data // The BOXOFFICE COMPANY
Webedia —Berlin
- Vollzeit
- APIs
Direkt bewerben
Technical Account Manager, German speaking
Wiz —Berlin
- Informatik
- DevOps
- Bachelor
Senior Software Engineer (on-site)
Cloover —Berlin
- Vollzeit
- SQL
- JavaScript
- APIs
- Kostenlose Verpflegung
Direkt bewerben
Senior Backend Engineer
acemate.ai —Berlin
- DevOps
- JavaScript
- Künstliche Intelligenz
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Solutions Architect DACH
Nebius —Berlin
- Homeoffice
- Azure
- AWS
- Künstliche Intelligenz
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Senior Backend Engineer
Talon.One —Berlin
- Wartung
- Java
- Künstliche Intelligenz
Direkt bewerben
10 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
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Senior QA Engineer - Payments (All genders)
Distribusion Technologies —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Datenbanken
Direkt bewerben
4 Tage
Senior Revenue Analyst
Shine —Berlin
- Microsoft Excel
- SQL
- Führungserfahrung
Direkt bewerben
5 Tage

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Key Customers Solutions Architect EMEA

Nebius
Berlin

Direkt bewerben

Details zur Stelle

Qualifikationen

TensorFlow
Azure
Kubernetes
Ansible
AWS
Projektmanagement
Terraform
Deep learning
Künstliche Intelligenz
Python
Verhandlungsgeschick

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

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You're welcome to work remotely from Europe.

Your responsibilities will include:

Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
Experience with Kubernetes and Python programming.
Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
Customer-centric approach with a proven ability to build trust and foster long-term relationships.
Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
Proven experience mentoring technical teams and driving team growth.
Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

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

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