Senior ML Solutions Architect - Token Factory

Senior ML Solutions Architect needed for a partner company's AI infrastructure team, building a serverless platform for running and customizing open-source LLMs in production. Requires 5+ years of ML/AI experience including 2+ years focused on LLMs and generative AI, with strong Python skills. Role involves designing optimized inference workflows, fine-tuning, evaluation, and RAG architectures while partnering directly with customers across Europe.

Core AIHybridFull-timeSeniorMachine LearningLLMs

Senior ML Solutions Architect - Token Factory

Senior ML Solutions Architect needed for a partner company's AI infrastructure team, building a serverless platform for running and customizing open-source LLMs in production. Requires 5+ years of ML/AI experience including 2+ years focused on LLMs and generative AI, with strong Python skills. Role involves designing optimized inference workflows, fine-tuning, evaluation, and RAG architectures while partnering directly with customers across Europe.

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Core AIHybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Hybrid; fully remote work opportunity from Europe

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Machine LearningLLMsGenerative AIPythonFine-tuningSupervised Fine-TuningLoRAReinforcement LearningLLM Evaluation FrameworksvLLMSGLangTensorRT-LLMTransformersOpenAI APIAnthropic APIRAGPrompt EngineeringServerless InferenceMultimodal Models

Soft Skills

CommunicationCustomer-facingCollaborationTechnical guidanceProblem solving

Preferred Qualifications

Technical (Nice-to-have)

Vision-Language ModelsSpeech ModelsDockerKubernetesGitOpen-source ContributionsAWS SageMakerAWS BedrockGoogle Vertex AIAzure ML

Key Responsibilities

•Optimize LLM inference workflows across different modalities to deliver measurable business value and meet customer requirements.
•Support customers with supervised and reinforcement-learning-based fine-tuning approaches to improve model quality and performance.
•Design and implement LLM-powered solutions using serverless inference services and served open-source models.
•Build production-ready applications using LLM APIs, including multimodal models covering text, vision, audio, and domain-specific use cases.
•Provide technical guidance on prompt engineering, RAG architectures, model selection, inference optimization, and deployment strategies.
•Guide customers through the transition from proof of concept to production, with a focus on performance, reliability, scalability, and cost efficiency.
•Work closely with product and engineering teams to communicate customer needs, identify platform gaps, and contribute to roadmap development.
•Help customers select appropriate models, inference configurations, and fine-tuning strategies based on their use cases and technical constraints.
•Contribute to improving the platform and its capabilities by sharing practical insights from customer implementations and production workloads.

ML Solutions ArchitectLLMGenerative AIAI InfrastructureServerlessFine-tuningRAGPythonRemoteSenior