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Senior ML Solutions Architect – Token Factory
Nebius GroupSenior ML Solutions Architect leveraging Nebius Token Factory for customized solutions. Supporting clients in designing AI applications and collaborating with engineering teams for optimal results.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
Requirements
What you’ll need- 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
- Hands-on experience with:
- Prompt engineering and LLM pipeline development, including evaluation
- Agentic frameworks such as Langchain, Langsmith, smolagents, or equivalent
- Vector databases and RAG implementation patterns
- Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models
- Strong Python programming skills
- Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences.
Benefits
Comp & perks- 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.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ML systemsAI systemsLLMgenerative AIprompt engineeringLLM pipeline developmentPythonmodel architecturesfine-tuning approachesinference optimization
Soft Skills
communication skillscollaborationcustomer feedbacktechnical expertise