
AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
July 6

AI • Enterprise • SaaS
Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.
• Deliver AI Professional Services including model training, fine-tuning, and inference optimization • Integrate Nebius AI solutions into diverse client environments • Design and set up scalable ML training and inference workflows on GPU clusters • Automate MLOps pipelines and manage the entire model lifecycle • Develop clear architecture documentation and operational guides • Lead technical efforts during service delivery engagements • Contribute to internal tooling, frameworks, and best practices
• 5–10+ years experience in ML engineering or MLOps • 3+ years in professional services or technical consulting roles • Strong proficiency in Python; hands-on experience with PyTorch or TensorFlow • Proven success deploying ML models to production at scale • Skilled with Kubernetes, Docker, Terraform, and CI/CD pipelines • Good understanding of the GPU stack: CUDA, drivers, and relevant libraries • Excellent communication skills; comfortable working independently with clients • Fluent in English • Experience with MLflow, Apache Airflow, or Kubeflow • Familiarity with cloud ML platforms like AWS, GCP, Azure ML, or NVIDIA NGC • Experience managing hybrid cloud or on-prem GPU infrastructure • Background working with technology partners and integrating third-party solutions
• Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Hybrid working arrangements. • A dynamic and collaborative work environment that values initiative and innovation.
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