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Senior Applied AI Solutions Engineer

Nebius Germany·$200,000 – $350,000

Primary stack

PyTorchKubernetesMLflow

Nice to have's

AINLPKubeflow

Job description

About the Position

We are looking for a Senior Applied AI Solutions Engineer to join our team at Nebius, a leader in cloud infrastructure for the global AI economy. Based in Amsterdam, Netherlands, or remote across Europe and the United States, this role is at the intersection of deep ML engineering and product impact.

About Nebius

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. We are listed on Nasdaq (NBIS) and have a global footprint with R&D hubs across Europe, the UK, North America, and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software, and AI R&D.

Responsibilities

  • Build prototypes and demos across the product portfolio - serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS - that become assets for sales, product, and engineering teams.
  • Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months.
  • Go deep on emerging applied AI - new training techniques, inference optimizations, agentic architectures, new frameworks - and turn findings into working prototypes, writeups, and product recommendations.
  • Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change".
  • Develop reusable technical assets - notebooks, reference architectures, benchmark results - that reduce onboarding friction at scale.

Requirements

  • Experience fine-tuning large models, debugging distributed training jobs, building production RAG or agentic pipelines, and optimizing inference on GPU infrastructure.
  • Fluency in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases.
  • Experience working with enterprise ML teams - whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers.
  • Ability to read papers and implement them to stay sharp.
  • Strong communication skills to explain technical concepts to both ML engineers and executives.

Nice to Have

  • Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development.
  • Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray).
  • Prior work at a cloud provider or AI infrastructure company.
  • Experience sharing technical work publicly - notebooks, talks, blog posts that people actually use.

We Offer

  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth within Nebius.
  • Flexible working arrangements.
  • A dynamic and collaborative work environment that values initiative and innovation.

About the Company

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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Senior Applied AI Solutions Engineer

Amsterdam, Netherlands; Remote - Europe; Remote - United States

Base Compensation Range

$200-$350,000 USD

© Nebius Germany. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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