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Job description
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.
Your responsibilities will include: acting as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement; conducting PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices; collaborating with clients to understand their business requirements and develop solution architecture that align with their needs.
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 hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), 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; customer-centric mindset.
Company
Tech, Software & IT Services
Nebius provides a comprehensive AI cloud platform designed for developers and organizations building and deploying generative AI applications. We offer a full-stack infrastructure – encompassing secure, high-performance computing and cost-optimized resources – enabling efficient machine learning model training and deployment. Nebius caters to a diverse clientele, including startups, enterprises, and research institutions, empowering them to accelerate AI innovation and deliver impactful scientific breakthroughs. Our platform simplifies the complexities of AI infrastructure, allowing teams to focus on core development and maximize the value of their AI investments.
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