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Solutions Architect
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Human Resources Recruitment
💰 Salary Not shared
📊 Market 8,333 CAD–15,000 CAD/mo (99,996 CAD–180,000 CAD/yr)
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.
About the Job
We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines. You're welcome to work remotely from Canada.
Role & Responsibilities
- ● 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 how-tos 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.
- ● Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
Requirements
Education
- ● Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience.
Experience
- ● 5 - 10 + years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
- ● Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
- ● Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
- ● Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Skills
- ● 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
- ● Customer-centric mindset
- ● Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA,
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