Remote AI/ML Solutions Architect for Cloud Deployments

Meyandy LLC; Amsterdam; Hybrid; EUR 120,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Career growth opportunities

Flexible work arrangement

Collaborative culture

Job summary

Nebius is looking for an experienced Specialist Solutions Architect to design scalable AI solutions for enterprise customers in Europe. You will help design and optimize AI deployments using Nebius services, addressing technical challenges and enabling large-scale GPU clusters.

The role allows on-site work in Amsterdam or remote work from any EU country, requiring strong ML/AI engineering background and excellent communication to translate customer needs into robust cloud architectures.

Qualifications

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

Responsibilities

• Design customer-centric AI solutions that maximize business value.
• Build and maintain long-term customer relationships.
• Deliver technical presentations, whitepapers, manuals and host webinars.
• Collaborate with engineering and product teams to relay customer feedback.

Skills

MLOps

Cloud architectures

Distributed training

PyTorch/JAX

Communication

Tools

Python

Go

Java

C++

Kubernetes

Slurm

Git

Docker

Terraform

TensorFlow

JAX

Job description

Nebius is looking for an experienced Specialist Solutions Architect to design scalable AI solutions for enterprise customers in Europe. You will help design and optimize AI deployments using Nebius services, addressing technical challenges and enabling large-scale GPU clusters.

The role allows on-site work in Amsterdam or remote work from any EU country, requiring strong ML/AI engineering background and excellent communication to translate customer needs into robust cloud architectures.