AI/ML Specialist - Solutions Architect

February 15

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

+2 more states

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $125k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Nebius Group

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Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

AI infrastructure • Cloud platforms • GPU clusters • GPU cloud • GPUs as a service

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

📋 Description

• We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. • In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs. • You’re welcome to work remotely from the United States or Canada. • Designing customer-centric solutions that maximize business value and align with strategic goals. • Building and maintaining long-term relationships to foster trust and ensure customer satisfaction. • Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise. • Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

🎯 Requirements

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles. • Strong understanding of ML ecosystems, including models, use cases and tooling. • Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments. • Expertise in deploying inference infrastructure for production workloads. • Ability to transition ML pipelines from POC to scalable production systems. • Hands-on knowledge of frameworks like PyTorch or JAX. • Excellent verbal and written communication skills.

🏖️ Benefits

• 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.