Solutions Architect - Cloud and MLOps solutions

The company

Nebius AI is an AIcentric public cloud platform specifically crafted to serve AI models for training and inference.

Our mission is to help ML practitioners concentrate on their core jobs while DevOps MLOps and infrastructurerelated tasks are handled by us. The idea is to build an MLspecific cloud platform covering the entire ML lifecycle from A to Z: from data preparation and labeling to ML training and inference.

We recognize the potential of ML and AI technologies and aim to provide our future users with the perfect environment to train and finetune their models. We are committed to delivering the best user experience and excellent customer support.

Four development hubs:
Nebius is headquartered in the Netherlands with hubs in Finland Serbia and Israel.

Data center in Europe:
Our own data center in Finland features server racks designed inhouse for MLspecific high load with powerefficient solutions including a freecooling system.

500 professionals:
Our mature team of engineers has a proven track record in developing sophisticated cloud and ML solutions and designing cuttingedge hardware.

The role

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

Youre welcome to work remotely from Canada.

In this position your responsibility will be to:

• 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 howtos 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.

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 handson experience with IaC and configuration management tools (preferably Terraform/Asible) 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
• Customercentric mindset
• Fluent English

It would be an added bonus if you had:

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

Does all that sound like your kind of challenge Then join us!