Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (AI): Developing and scaling an AI Agent for ecommerce to automate shopper-merchant interactions with an accent on LLM pipelines, RAG, and NLP classifiers. Focus on building agentic workflows, optimizing feedback loops, and integrating multi-provider LLM systems to drive sales and support.
Location: Paris, France (Hybrid setup implied by home office budget)
Salary: €95,680 – €105,752
Company
is a Conversational Commerce platform building a unified AI agent that helps ecommerce brands sell, support, and re-engage customers across their entire journey.
What you will do
- Develop, refine, and scale the AI Agent using agentic LLM systems, RAG, and NLP classifiers.
- Own feedback loops, observability, and continuous training for models using Hugging Face and Vertex AI.
- Implement scalable technical solutions using domain-driven design and maintain existing services.
- Manage the machine learning data pipeline using BigQuery and dbt.
- Collaborate with cross-functional teams of data engineers, software engineers, and product managers.
- Analyze post-release performance to identify and implement improvements for future iterations.
Requirements
- 5+ years of experience in machine learning and software development.
- Proven track record building LLM applications, RAG systems, and agentic workflows.
- Proficiency in Python and modern ML tools and frameworks.
- Master's degree in a STEM field or a related area.
- Excellent written and verbal communication skills in English.
- Must be based in Paris, France.
Culture & Benefits
- Competitive salary and equity (90th percentile worldwide).
- Generous time off: 5-week vacation plus 2 weeks RTT and paid sick/parental leave.
- Hardware and setup: MacBook Pro and up to €700 for a home workstation.
- Financial perks: Personal credit card for lunches (Swile) and private health insurance (GAN).
- Professional growth: Up to €2000 annual budget for learning materials and wellness.
- Team connection: Quarterly online summits and annual offsite team retreats.
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