Professional Services Engineer at Nebius

Reims, Grand Est, France -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ML Engineering, MLOps, Python, PyTorch, TensorFlow, Kubernetes, Docker, Terraform, CI/CD, GPU Stack, CUDA, Drivers, Libraries, MLflow, Airflow, Kubeflow

Industry

technology;Information and Internet

Description

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The role We’re looking for a hands-on PS Engineer to join our Professional Services team. You will deliver GPU-powered AI/ML solutions for enterprise clients, focusing on implementation, integration, and optimization of production-grade systems. You’re welcome to work in our office in Amsterdam, or remotely from any EU country. Your responsibilities will include: Deliver services from the AI Professional Services portfolio, including model training, fine-tuning, and inference optimization Integrate Nebius AI solutions into client environments Set up scalable ML training and inference on GPU clusters Automate MLOps pipelines and model lifecycle Create architecture docs and operational guides Act as a technical lead during service delivery Contribute to internal tools and best practices We expect you to have: 5–10+ years in ML engineering or MLOps 3+ years delivering professional services or technical consulting projects Strong Python skills; experience with PyTorch or TensorFlow Proven track record of production ML deployments Proficiency with Kubernetes, Docker, Terraform, CI/CD Understanding of GPU stack (CUDA, drivers, libraries) Excellent communication; able to work independently with clients Fluent English It will be an added bonus if you have: Experience with MLflow, Airflow, or Kubeflow Familiarity with AWS, GCP, Azure ML, or NVIDIA NGC Experience with hybrid cloud or on-prem GPU setups Experience working with technology partners and integrating 3rd-party solutions What 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. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

Responsibilities

The Professional Services Engineer will deliver GPU-powered AI/ML solutions for enterprise clients, focusing on implementation, integration, and optimization of production-grade systems. Responsibilities include delivering services from the AI Professional Services portfolio and acting as a technical lead during service delivery.