Senior ML Engineer – Catalog AI at Scale (Paris)

ManoMano

Paris

On-site

EUR 90,000 - 120,000

Full time

2 days ago
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Job summary

ManoMano in Paris is seeking a Senior Machine Learning Engineer to join the Machine Learning team. You will design and productionize ML solutions to improve catalog quality, including product categorization, attribute extraction, and product matching.

You will build scalable pipelines, experiment with LLMs and vision-language models, and collaborate with engineers, product managers, and business stakeholders to deliver measurable impact across millions of products on our 100% online marketplace.

Qualifications

  • More than 5 years of experience in Machine Learning, Deep Learning, or AI Engineering.
  • Hands-on experience taking models from prototype to production at scale.
  • Experience with LLMs or VLMs fine tuning is a plus.
  • Strong experience with product categorization, taxonomy design, attribute extraction, or related tasks.
  • Experience designing robust data and machine learning pipelines for large-scale production use cases.

Responsibilities

  • Design and implement ML/AI solutions for catalog quality and categorization.
  • Build scalable pipelines for product classification, entity matching, semantic similarity, and attribute extraction.
  • Develop and evaluate ML models, including LLMs and vision-language models.
  • Design human-in-the-loop and automated workflows to improve catalog quality.
  • Write production-ready code and deploy AI systems at scale.
  • Define and track evaluation metrics; run experiments and communicate results to guide decisions.
  • Partner with engineers, product managers, and stakeholders on problem framing.
  • Investigate production issues; ensure reliability and observability of AI systems.

Skills

Machine Learning
Python
SQL
Data pipelines
English communication
Experimentation

Tools

AWS
Airflow
Kubernetes
Gitlab
Snowflake
PGVector
OpenAI SDK
vLLM
unsloth

Job description

ManoMano in Paris is seeking a Senior Machine Learning Engineer to join the Machine Learning team. You will design and productionize ML solutions to improve catalog quality, including product categorization, attribute extraction, and product matching.

You will build scalable pipelines, experiment with LLMs and vision-language models, and collaborate with engineers, product managers, and business stakeholders to deliver measurable impact across millions of products on our 100% online marketplace.

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