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Senior Applied AI Solutions Engineer

NebiusAmsterdam, Netherlands; Remote - Europe; Remote - United States
Remote Full-time

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Experience Level

Senior

Qualifications

Proven experience in machine learning engineering and applied AI. Strong programming skills in Python, along with familiarity with machine learning frameworks such as TensorFlow or PyTorch. Excellent problem-solving abilities and a passion for innovation. Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Understanding of MLOps and deployment strategies.

About the job

Why join Nebius?
Nebius is pioneering a transformative era in cloud computing tailored for the global AI economy. We empower our clients with innovative tools and resources that tackle real-world challenges and revolutionize industries, eliminating the need for substantial infrastructure investments or extensive in-house AI/ML teams. Our team operates at the forefront of AI cloud infrastructure, collaborating with some of the most visionary leaders and engineers in the sector.

Our Work Environment
Headquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a global presence with R&D centers in Europe, North America, and Israel. Our workforce exceeds 1,400 employees, including over 400 highly skilled engineers with profound expertise in hardware and software engineering, complemented by an in-house AI R&D team.

The Role
In a landscape where AI evolves faster than any single product team can monitor, Nebius is expanding its offerings in serverless computing, databases, MLflow, MLOps, Physical AI, and Healthcare Life Sciences (HCLS). Our clients arrive with complex, real-world ML workloads that require more than just documentation; they need hands-on expertise. This role aims to bridge that gap: a professional who can prototype feasible solutions, guide clients through their initial 90 days, and integrate valuable field insights into our product roadmap.
This position lies at the crossroads of advanced ML engineering and product innovation. You will spend approximately half of your time engaging directly with clients, facilitating their transition from proof of concept to production, conducting technical onboarding, and working collaboratively on their ML stack. The remaining time will be devoted to building prototypes of applied AI use cases that demonstrate the platform's capabilities, diving deep into emerging techniques ahead of the curve, and translating that expertise into actionable product direction.
This is not a presales position; you will be actively involved in hands-on work every day.

Success Metrics after 12 Months
  • The product and sales teams have a collection of refined, functional demos readily available for client calls.
  • Enterprise clients you have engaged with experience significantly quicker time-to-value compared to those who haven’t.
  • At least 2–3 product enhancements have been implemented based on your feedback.
  • The team is well-informed about the future trajectory of applied AI, partly due to your insights.
Your Responsibilities Include:
  • Develop prototypes and demos across the product suite, encompassing serverless inference, databases, MLflow, MLOps, and vertical applications in Physical AI and HCLS, that become strategic assets for showcasing our capabilities and accelerating client engagement.

About Nebius

Nebius is at the forefront of revolutionizing cloud computing to cater to the needs of the global AI economy. Our mission is to provide cutting-edge solutions that enable businesses to overcome real-world obstacles while minimizing infrastructure costs. With a dedicated team of experts and a strong global presence, we are committed to driving innovation and excellence in AI cloud infrastructure.

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