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AI/ML Specialist, Solutions Architect
Nebius GroupAI/ML Specialist Solutions Architect joining Nebius to focus on Cloud infrastructure and MLOps solutions. Act as a trusted advisor to clients in leveraging cloud technologies for ML/AI teams.
Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $220,000 - $280,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud solutions architecture, focusing on Infrastructure as Code (IaC) and GPU computing practices. Possesses strong communication skills and a customer-centric approach to optimize cloud resource utilization and support client engagements.
Highest-signal resume keywords
Cloud Solutions ArchitectureInfrastructure as Code (IaC)KubernetesPython ProgrammingGPU Computing Practices
ATS Keywords
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Hard Skills
Infrastructure as CodeConfiguration ManagementTerraformAnsibleKubernetesPythonGPU ComputingCUDAOpenCL
Soft Skills
Excellent CommunicationCustomer-Centric Mindset
Tools & Technologies
Nebius AI
Industry Keywords
Cloud ComputingMachine LearningPerformance OptimizationScalabilityTechnical Support
Tech Stack
Tools & technologiesAnsibleCloudKubernetesPythonTerraform
About the role
Key responsibilities & impact- 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.
- 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
What you’ll need- 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
- 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.
Benefits
Comp & perks- Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) Plan: Up to 4% company match with immediate vesting.
- Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote Work Reimbursement: Up to $85/month for mobile and internet.
- Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.