Machine Learning Engineer Intern - Paris - January 2027

Description

The company is the world's second-largest wines and spirits group, and the teams are friendly and sociable.

This is a 6-month machine learning and MLOps internship starting July 2026.

The team wants people who think independently, enjoy building things, move quickly and communicate clearly.

Responsibilities

• Help set up an MLOps process to keep machine learning models running in production.
• Work with the team to build or improve scalable, efficient pipelines using current MLOps practice.
• Help develop production-grade services, including unit and integration tests and CI/CD and DevOps for them.
• Maintain and extend the API that serves the web application.
• Look for new ways to speed up the path to production and improve MLOps and end-to-end experiences.
• Apply software development practices and standards to raise the code quality of the applications.
• Take part in every stage of building software.
• Help scale the company's data science models.

Requirements

• Be enrolled in a BS or MS in Computer Science, Computer Engineering, or a quantitative science field.
• Have hands-on experience with high-level languages such as Python, Scala, Java, or C/C++.
• Have experience building or improving CI/CD pipelines and working with machine learning.
• Know container tools such as Docker.
• Be familiar with MLOps frameworks such as Azure ML Studio, MLFlow, or Kubeflow.
• A PhD would count as a plus.
• Be able to complete the full 6 months of the internship and hold an internship agreement issued by your school or university.

Conditions

Based at the Island, the company's office in central Paris near Saint Lazare train station (Paris 8).

You may work from home up to 2 days a week.

Target hire date is 2027-04-01 and target end date is 2027-06-30.

The company is committed to diversity, is disability-friendly, is one of France's top 10 companies for gender equality, and recruits on skills to ensure equal opportunities.

Benefits

• Gross monthly salary of 1410€ for Bac +4 with a gap year, or 1550€ for Bac +5.
• Company restaurant.
• Unlimited access to the Coursera training platform.
• Employee events such as masterclasses and conferences.
• A friendly, supportive environment to grow and build a professional network, where 90.4% of interns and alternates recommended the company as an employer in Happy Trainees 2024.