AI Engineer - Professional Services
Description For AI Engineer - Professional Services
Nebius, a pioneering force in cloud computing for the AI economy, is seeking an AI Engineer to join their Professional Services team. Headquartered in Amsterdam with a global presence across Europe, North America, and Israel, Nebius boasts a team of over 800 employees, including 400+ skilled engineers.
The role offers a unique opportunity to work at the intersection of AI and cloud infrastructure, delivering GPU-powered AI/ML solutions for enterprise clients. As an AI Engineer, you'll be responsible for implementing, integrating, and optimizing production-grade systems, working remotely from the US. The position requires extensive experience in ML engineering or MLOps (5-10+ years) and a strong background in technical consulting.
The ideal candidate will possess deep technical expertise in Python, PyTorch/TensorFlow, and modern MLOps tools like Kubernetes and Docker. You'll be working on cutting-edge projects, from model training and fine-tuning to setting up scalable ML workflows on GPU clusters. The role demands both technical excellence and strong communication skills, as you'll be working directly with clients and leading technical initiatives.
Nebius offers a competitive compensation package, professional growth opportunities, and a collaborative work environment. This position is perfect for someone passionate about AI/ML who wants to work with innovative technology while helping enterprises solve real-world challenges. The company's growing presence in the AI cloud infrastructure space makes this an exciting opportunity to make a significant impact in the field.
Responsibilities For AI Engineer - Professional Services
- 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
Requirements For AI Engineer - Professional Services
- 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
Benefits For AI Engineer - Professional Services
- Competitive salary and comprehensive benefits package
- Opportunities for professional growth within Nebius
- Hybrid working arrangements
- A dynamic and collaborative work environment
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