AI/ML Specialist Solutions Architect
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Company in Remote - Europe"), this listing's salary midpoint is about 89% lower. The offer sits below the benchmark range (€1,667–€6,000). The listed pay band (€319–€500) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Europe | €1,978/per month | €4,914/per month | €13,713/per month |
| Company in Remote - Europe | €1,667/per month | €2,056/per month | €6,000/per month |
| Pay in our data — not quoted in ad (Senior) | €319/per month | €410/per month | €500/per month |
The role: 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 on-site in Amsterdam or remotely from any other EU country. Your responsibilities include: Designing customer-centric solutions that maximize business value; Building and maintaining long-term relationships; Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars; Collaborating with engineering and product teams to relay customer feedback. You should have: 3+ years of cloud tech experience in MLOps or ML engineering; Strong ML ecosystem knowledge; Experience with distributed training; PyTorch or JAX proficiency; Strong communication. Nice-to-haves: Inference infra deployment; Transition ML pipelines to production. Preferred tooling: Python, Go, Java, C++; Kubernetes, Slurm, Docker, Helm; Terraform; PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn. Benefits include: Competitive pay, career growth, flexibility, collaborative culture, impactful AI projects. Nebius promotes equal opportunity and an inclusive workplace. Apply via the Careers portal or this job posting.
Job Details
Responsibilities
- Design customer-centric solutions that maximize business value
- Build and maintain long-term relationships with customers
- Deliver technical presentations, produce whitepapers, create manuals and host webinars
- Collaborate with engineering and product teams to relay customer feedback
Requirements
- 3+ years of cloud technologies experience in MLOps or ML engineering 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
- Hands-on knowledge of PyTorch or JAX
- Excellent verbal and written communication skills
Skills & Technologies
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