AI Engineer (M/F)

Gopaxo; Paris; Hybrid; EUR 60,000 - 85,000; Full time

Benefits offered by this job

100% coverage of family health insurance

Meal card and transportation reimbursements

Flexible equipment budget

Unlimited travel pass for European trains

Team seminars twice a year

Job summary

Gopaxo is seeking an AI Engineer to join their Data & AI team in Paris, offering a hybrid work model. The role involves building and deploying recommendation models, integrating large language models, and driving product evaluations for impact measurement.

The ideal candidate has a minimum of 3 years of experience in AI/ML, proficiency in Python, and is adept at managing large data sets. Competitive compensation ranges from €60,000 to €85,000 gross annually.

Qualifications

• At least 3 years of experience in Machine Learning, Data Science, or AI Engineering.
• Proficiency in Python and modern libraries.
• Ability to manipulate large data volumes.
• Rigorous evaluation of models and analysis of bias.

Responsibilities

• Design and deploy destination-recommendation models.
• Build embedding and semantic-search pipelines.
• Evaluate and integrate major LLMs into tools.
• Measure product and business impact of iterations.
• Support the SEO team on Generative Engine Optimization.

Skills

Machine Learning

Python

Data Science

SQL

BigQuery/Snowflake

PyTorch

scikit-learn

Hugging Face

LangChain

Job description

# AI Engineer (M/F)Contract: Full-time (permanent)Location: ParisTeam: HybridCompensation: €60,000 – €85,000 gross per yearApply to this roleContact## About the roleYou're joining a small Data & AI team whose mission is to leverage the millions of searches made on Gopaxo (train, bus, carpooling, plane) to personalise results, recommend destinations and prepare our presence in generative AI engines (GEO / AEO).You alternate between experimentation (prototypes, offline evaluations, A/B tests) and production deployment of models, embeddings and agents that directly serve our users.## Responsibilities* Design and deploy the destination-recommendation and multimodal-offer ranking models (train, bus, carpooling, plane).* Build our embedding and semantic-search pipelines for autocomplete and inspirational pages.* Evaluate and integrate major LLMs (OpenAI, Anthropic, Mistral) into our internal tools and the traveller experience.* Measure the product and business impact of every iteration and install a culture of rigorous evaluation.* Support the SEO team on the Generative Engine Optimization and AI Overviews strategy.## Who we're looking for* At least 3 years of experience in Machine Learning, Data Science or AI Engineering with production deployments.* You master Python and modern libraries (PyTorch, scikit-learn, Hugging Face, LangChain).* You can manipulate large data volumes (SQL, BigQuery/Snowflake, Python pandas/polars).* You are rigorous in evaluating models and analysing bias.## Nice to have* Experience with recommendation, reinforcement learning or retrieval-augmented generation (RAG).* Open source contributions or publications.* Experience developing multi-step agents (tool use, orchestration).## The team* Contrat CDI temps plein, basé à Paris avec 2 à 3 jours de télétravail par semaine.* Mutuelle famille Alan prise en charge à 100 % par l'entreprise.* Carte Swile pour les titres-restaurant et abonnement transport remboursé à 100 %.* Budget matériel libre (MacBook Pro, écran 4K, périphériques) à votre arrivée.* Pass illimité sur tous les trains européens comparés par Gopaxo pour vos déplacements personnels.* Séminaires d'équipe deux fois par an, dans une destination desservie par nos partenaires.## Apply to this roleSend your CV to [e-mail]