Hybrid ML/MLOps Intern: Build Production Models

Pernod Ricard España SA; Paris; Sur place; EUR 16 000 - 17 000; Plein temps

Avantages offerts par ce poste

Gross salary 1410–1550€ per month

Work from home up to 2 days a week

Company restaurant

Coursera access for interns

Employee events

Résumé du poste

Pernod Ricard, a world leader in wines and spirits, offers a 6-month Machine Learning / MLOps Intern position based in Paris. You will scale data science models, roll up your sleeves and collaborate across teams to deploy robust ML pipelines.

You should be pursuing BS/MS in computer science or related fields, with hands-on experience in Python/Scala/Java/C/C++, CI/CD, and Docker. Fluent English; French is a plus. The internship includes a salary and benefits and starts July 2026.

Qualifications

• You are pursuing a BS/MS in Computer Science, Computer Engineering, or quantitative fields.
• Experience with Python/Scala/Java/C/C++ required.
• Experience in building or improving CI/CD pipelines and ML.
• Familiar with Docker and MLOps frameworks.

Responsabilités

• Contribute to the MLOps process to maintain ML models in production.
• Collaborate to deploy or improve scalable, efficient pipelines using best MLOps practices.
• Contribute to production-quality service development with unit and integration testing, CI/CD & DevOps.
• Maintain and contribute to the API serving our web application.
• Identify opportunities to improve go-to-production and end-to-end experiences.
• Apply software development practices to enhance code quality of our applications.
• Maintain an active role in all parts of the software development life cycle.
• Contribute to Data platform community.

Connaissances

Python

Scala

Java

C/C++

CI/CD

MLOps

English

French

Formation

BS/MS in Computer Science/Engineering or quantitative science

PhD is a plus

Outils

Docker

Azure ML Studio

MLFlow

Kubeflow

Description du poste

Pernod Ricard, a world leader in wines and spirits, offers a 6-month Machine Learning / MLOps Intern position based in Paris. You will scale data science models, roll up your sleeves and collaborate across teams to deploy robust ML pipelines.

You should be pursuing BS/MS in computer science or related fields, with hands-on experience in Python/Scala/Java/C/C++, CI/CD, and Docker. Fluent English; French is a plus. The internship includes a salary and benefits and starts July 2026.