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# AI/ML Specialist Solutions Architect

- **Company:** Nebius Group
- **Location:** France (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** 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, Kubernetes, HuggingFace, Slurm, Machine Learning Operations, Terraform, Docker, Golang, Programming Languages
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/ai-ml-specialist-solutions-architect-nebius-8329797

## About the Role

* 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.

## 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.


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