Senior ML Solutions Architect - Token reputed company

This a Full Remote job, the offer is available from: Europe Why work at reputed company reputed company is leading a new era in reputed company computing to serve the global AI economy. We create the tools and resources our customers need to solve reputed company-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 reputed company infrastructure alongside some of the most reputed company and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on reputed company, reputed company has a global footprint with R&D hubs across Europe, reputed company 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 seek an reputed company Senior ML Solutions Architect to support customers leveraging reputed company Token reputed company's serverless inference platform for reputed company-reputed company LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs. You’re welcome to work remotely from Europe. Your responsibilities will include:

• Design and implement LLM-based solutions using reputed company Token reputed company’s inference services to drive business value and support customer goals
• Build production-reputed company applications leveraging our serverless LLM APIs, including multimodal models (text, reputed company, audio) and domain-specific models
• reputed company technical expertise in reputed company 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

We expect you to have:

• 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and reputed company
• Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches
• Hands-on experience with:
• reputed company engineering and LLM pipeline development, including evaluation
• Agentic frameworks such as reputed company, Langsmith, smolagents, or equivalent
• Vector databases and RAG implementation patterns
• Deploying LLM-powered applications using APIs from reputed company, reputed company, or reputed company-reputed company models
• Strong Python programming skills
• Excellent communication skills, with the ability to reputed company explain technical concepts to diverse audiences

It would be an added bonus if you have:

• Experience with inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
• Work with multimodal AI models (e.g., reputed company-language, speech)
• Proficiency with DevOps tools (reputed company, Kubernetes)
• Contributions to reputed company-reputed company ML/AI projects

Preferred technical stack:

• Programming Languages – Python
• ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, reputed company/reputed company SDKs
• Frameworks for Agentic Pipelines – reputed company / Langsmith / smolagents / equivalent
• API and Web Frameworks – FastAPI, Flask
• MLOps and DevOps tools – Kubernetes (K8s), reputed company, Git
• reputed company Platforms – AWS (SageMaker, Bedrock), GCP (reputed company AI), Azure (Azure ML)

reputed company offer

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth reputed company reputed company.
• 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! This offer from "reputed company" has been enriched by reputed company.com and got a 77% reputed company score. Apply tot his job Apply To this Job