Senior GenAI ML Scientist - Hybrid Amsterdam

Russell Tobin

Amsterdam

Hybrid

EUR 100,000 - 140,000

Full time

4 days ago
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Job summary

Russell Tobin is seeking a Senior Machine Learning Scientist to join our MLM Supply Intelligence team in Amsterdam. This hands-on role focuses on building AI and GenAI solutions atop multimodal booking data, including reviews and text.

You will own end-to-end ML/GenAI development, from problem framing to deployment, collaborating with ML Engineers and Product teams to deliver production-ready systems at scale.

Qualifications

  • Hands-on experience deploying ML solutions.
  • Expert-level Python programming and model development.
  • Experience building GenAI applications including RAG pipelines.
  • Strong understanding of NLP, Large Language Models, embeddings, retrieval systems, and evaluation methodologies.
  • Experience designing experiments and defining meaningful performance metrics.
  • Ability to explain technical decisions, trade-offs, and implementation details clearly.

Responsibilities

  • Design, build, test, and evaluate Machine Learning and Generative AI solutions end-to-end.
  • Develop and optimize GenAI applications, including RAG pipelines.
  • Build scalable NLP and LLM-based solutions for business use cases such as review summarization and intelligence generation.
  • Define evaluation frameworks, metrics, and experimentation strategies to measure model performance.
  • Collaborate closely with ML Engineers and Product teams to deliver production-ready solutions.
  • Contribute to and improve existing codebases and AI systems.

Skills

Python
GenAI
NLP
LLMs
Embeddings
Retrieval systems
Model evaluation
Experiment design
Production readiness

Job description

Russell Tobin is seeking a Senior Machine Learning Scientist to join our MLM Supply Intelligence team in Amsterdam. This hands-on role focuses on building AI and GenAI solutions atop multimodal booking data, including reviews and text.

You will own end-to-end ML/GenAI development, from problem framing to deployment, collaborating with ML Engineers and Product teams to deliver production-ready systems at scale.

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