AI/ML Specialist Solutions Architect

Nebius Group
France
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) C++ (Programming Language) Cloud Computing DevOps Python (Programming Language) Machine Learning Tensorflow Graphics Processing Unit (GPU) Pytorch Infrastructure as Code (IaC) Git Scikit Learn
+8 more
Kubernetes HuggingFace Slurm Machine Learning Operations Terraform Docker Golang Programming Languages

Job description

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs., * Designing customer-centric solutions that maximize business value and align with strategic goals.

  • Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
  • Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
  • Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

Requirements

  • 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
  • Strong understanding of ML ecosystems, including models, use cases and tooling.
  • Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
  • Hands-on knowledge of frameworks like PyTorch or JAX.
  • Excellent verbal and written communication skills.

It will be an added bonus if you have:

  • Expertise in deploying inference infrastructure for production workloads.
  • Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

  • Programming Languages - Python, Go, Java, C++
  • Orchestration - Kubernetes (K8s), Slurm
  • DevOps Tools - Git, Docker, Helm
  • Infrastructure as Code (IaC) - Terraform
  • ML Frameworks and Libraries - PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn, 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.

Benefits & conditions

  • 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

About the company

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.

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