Data & AI Intern: ML, LLMs & Production in Paris

Pernod-Ricard; Paris; Presencial; EUR 16 000 - 17 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Company restaurant

Coursera access

Internal AI tooling access

Resumo da oferta

Pernod Ricard is seeking a Data & AI Intern for 6 months from March to August 2027, based at the Island, our central Paris office near Saint Lazare. You will contribute to key data science programs, maintain ML models, and help deploy Generative AI components in production.

Requirements include strong Python and OO, knowledge of ML basics, ETL/SQL, and familiarity with ML tools. Fluent English; French is a plus.

Qualificações

• Pursuing or recently completed degree in data science, engineering or a related field.
• Strong Python and object-oriented programming skills.
• Solid understanding of ML basics, data management (ETL, SQL) and model evaluation.

Responsabilidades

• Contribute to the development of ML/optimization building blocks and Generative AI components.
• Maintain and retrain existing models; monitor data drift, performance, latency and cost in production (MLOps/LLMOps).
• evangelize data science and AI concepts to deployment teams and stakeholders.
• Design and run evaluation benchmarks for AI systems and document failure modes before deployment.
• Contribute to responsible AI practices: data/prompts traceability, model documentation and alignment with AI policy.

Conhecimentos

Python

SQL

Machine Learning

Data management

GitHub

Cloud platforms

English

Formação académica

Bac+4/5

Ferramentas

PyTorch

TensorFlow

Hugging Face

LangChain

OpenAI SDK

Azure OpenAI

Azure Databricks

Snowflake

Descrição da oferta de emprego

Pernod Ricard is seeking a Data & AI Intern for 6 months from March to August 2027, based at the Island, our central Paris office near Saint Lazare. You will contribute to key data science programs, maintain ML models, and help deploy Generative AI components in production.

Requirements include strong Python and OO, knowledge of ML basics, ETL/SQL, and familiarity with ML tools. Fluent English; French is a plus.