Data & AI Intern — GenAI & MLOps in Paris

Pernod Ricard; Paris; On-site; EUR 16,000 - 17,000; Full time

Benefits offered by this job

Company restaurant

Coursera training platform access

Generative AI tooling access

Internal AI learning path

Employee events

Job summary

Pernod Ricard, the world’s No. 2 in wines & spirits, seeks a Data & AI Intern for a 6-month placement in Paris. You will join the Data & AI team at the Island office near Saint Lazare, developing ML/optimization modules and Generative AI components while maintaining production systems.

You will work on algorithmic blocks, model maintenance, evaluations, and responsible AI practices, gaining exposure to cloud platforms and production deployments in an international setting.

Qualifications

• Proficient in Python and OO design with strong ML/DS grounding.
• Experience or exposure to DL frameworks and LLM tooling is a strong plus.
• Knowledge of versioning tools and data management concepts is preferred.
• Interest in deploying models to production and responsible AI practices.

Responsibilities

• Develop algorithmic building blocks for ML/optimization and Generative AI components (LLM pipelines, RAG, agentic workflows).
• Maintain and re-train models; monitor data drift, latency, cost in production (MLOps/LLMOps).
• Promote data science and AI concepts to deployment managers.
• Design and run AI system evaluations; build benchmarks and document failure modes.
• Contribute to responsible AI through data prompts, model docs, and alignment with policy.

Skills

Python

Data Science fundamentals

ETL concepts

SQL

GitHub

ML/DL concepts

LLM tooling

Cloud data platforms

Education

Bac+4/5

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

OpenAI / Azure OpenAI

Job description

Pernod Ricard, the world’s No. 2 in wines & spirits, seeks a Data & AI Intern for a 6-month placement in Paris. You will join the Data & AI team at the Island office near Saint Lazare, developing ML/optimization modules and Generative AI components while maintaining production systems.

You will work on algorithmic blocks, model maintenance, evaluations, and responsible AI practices, gaining exposure to cloud platforms and production deployments in an international setting.