Machine Learning Engineer

Gorgias
Paris
Workplace: OnsiteFull timeEUR 95,680 - 105,752 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Communication"]

Build and scale an agentic LLM system that powers conversational commerce: answering shopper requests, resolving issues, and driving sales for merchants. You’ll own feedback loops, observability, and continuous training for deployed models, working across agentic workflows, RAG, and NLP classifiers. Collaborate with data and software engineers and product managers, maintain the ML data pipeline (BigQuery/dbt), and iterate using post-release performance insights.

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Gorgias
Gorgias
8 hours ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build and scale an agentic LLM system that powers conversational commerce: answering shopper requests, resolving issues, and driving sales for merchants. You’ll own feedback loops, observability, and continuous training for deployed models, working across agentic workflows, RAG, and NLP classifiers. Collaborate with data and software engineers and product managers, maintain the ML data pipeline (BigQuery/dbt), and iterate using post-release performance insights.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop, refine, and scale an AI Agent that automatically addresses and resolves shopper requests for merchants.
  • •Own feedback loops, observability, and continuous training for deployed systems and models using tools like Hugging Face and Vertex AI and multiple LLM providers.
  • •Work on agentic LLM systems, retrieval-augmented generation (RAG), and NLP classifiers to solve product-facing problems.
  • •Maintain the ML team's data pipeline using BigQuery and dbt.
  • •Collaborate cross-functionally to deliver ML as a service, analyze post-release performance, and identify improvements for future iterations.

Pay and Benefits

Salary: EUR 95,680 - 105,752 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid LeaveParental LeaveMacbook ProLearning Budget

Key Requirements

  • •5+ years of experience building and operating ML and software systems, including hands-on LLM applications, RAG systems, agentic workflows, and NLP classifiers.
  • •Proficiency in Python and modern ML/software engineering tools and frameworks.
  • •Experience with deploying and iterating on ML systems using feedback loops and continuous training for LLM-based applications.
  • •Familiarity with GCP is a plus.
  • •Master’s degree in a STEM field (science, technology, engineering, or mathematics) or a related field.
Experience:5+ yearsE-commerceMachine learningLLMRAGNLP
Education:Master's
Skills:Communication
Languages:English
Tech Stack:PythonHugging FaceVertex AILLMsRAGA/B testingNLPBigQueryDbtGCP

Company Brief

Gorgias
Gorgias provides a conversational AI-powered customer support platform for ecommerce brands, centralizing email, chat, SMS and social support with automation to resolve tickets and drive revenue through support.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: USD 500M to 1B
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 3.2
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