Hybrid AI Engineer – Personalization & LLMs (Paris)

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

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.