3 days ago
Remote, EMEA or Amsterdam, NetherlandsMid Level
Responsibilities
- Design customer-centric AI and cloud solutions that maximize business value and align with strategic goals.
- Build and maintain long-term customer relationships and support customer satisfaction.
- Deliver technical presentations, write whitepapers and manuals, and host webinars for audiences with varying technical expertise.
- Support and optimize large-scale AI deployments involving hundreds to thousands of GPUs.
- Collaborate with engineering and product teams to prioritize and communicate customer feedback.
Requirements
- Have 3+ years of experience with cloud technologies in MLOps engineering, machine learning engineering, or a similar role.
- Demonstrate a strong understanding of machine learning ecosystems, models, use cases, and tooling.
- Have experience setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Have hands-on knowledge of frameworks such as PyTorch or JAX.
- Have excellent verbal and written communication skills.
- Preferred qualifications include expertise deploying production inference infrastructure and transitioning ML pipelines from proof of concept to scalable production systems.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment with talented teams.
- Work onsite in Amsterdam or remotely from another EU country.
- Applicants must be authorized to work in the country where they apply and provide proof of employment eligibility.
Categories
Solutions Engineering
About Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.