aimlroles

Machine Learning Engineer Intern - Paris - January 2027

Pernod Ricard pernod-ricard.com Open · verified Oct 22, 2026
Paris Full-time Junior Machine Learning Engineering

At a glance

Junior Machine Learning Engineering role at Pernod Ricard. Paris · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityJunior
LocationParis
EmploymentFull-time
PostedSep 23, 2026 · 4w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Help keep machine learning models running in production by contributing to the MLOps process
  • Build or refine scalable deployment pipelines with the team, using MLOps practices
  • Develop production services with unit and integration tests, CI/CD, and DevOps
  • Maintain the API used by the web application and improve its serving
  • Raise code quality, look for smoother production workflows, and take part across the software development lifecycle

What you bring

  • You are pursuing a bachelor's or master's degree in computer science, computer engineering, or a quantitative field
  • You have implemented software in a high-level language such as Python, Scala, or another listed language
  • You have experience with machine learning and building or improving CI/CD pipelines
  • You know Docker or similar container tools and have worked with an MLOps framework
  • You can work in English; French is an advantage

Who this fits

This internship suits someone pursuing a relevant degree who wants hands-on experience across machine learning operations and software development. You must be able to complete a six-month internship and obtain an agreement from your school or university. The role is based at the Paris office, with the option to work from home up to two days a week.

From the employer

Want to join the world's No. 2 in wines & spirits and work among convivial teams? Pernod Ricard is looking for a Machine Learning /MLOps Intern for 6 months from July 2026. You will be based at the Island, our office in central Paris (Saint Lazare Train Station, Paris 8).

In this role, you’ll have the chance to roll up your sleeves to scale our data science models. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

Your key missions:

  • You will contribute to the MLOps process implementation to maintain ML models in production

  • You will collaborate with the team to deploy or improve scalable and efficient pipelines using best MLOps practices

  • You will collaborate with the team on production quality service development with Unit & Integration testing, CI/CD & devOps for these services

  • You will maintain and contribute to the API serving our web application

  • You will identify new opportunities to improve go-to-production, MLOps processes and improve end-to-end experiences

  • You will apply software development practices and standards to enhance and ensure the code quality of our applications

  • You will maintain an active role in every part of the software development life cycle

  • You will actively contribute to Data platform community

If you recognize yourself in the description below, don’t wait to apply!

  • You are pursuing a BS/MS in Computer Science, Computer Engineering, or quantitative science fields, a PhD is a plus

  • You have implementation experience with high-level languages, such as Python, Scala, Java, C/C++

  • You have experience in building or improving CI/CD pipelines and in machine learning

  • You have knowledge and experience with container tools such as Docker

  • You are familiar with MLOps frameworks (Azure ML Studio, MLFlow, Kubeflow…)

  • You are fluent in English, speaking French is a plus

Please note: to apply, you must be able to complete 6 months of internship and have an agreement issued by your school/university. 

And you'll benefit from these advantages:

  • Gross salary from 1410€ (Bac +4 and gap year) to 1550€ (Bac +5) per month

  • Possibility to work from home up to 2 days a week.

  • Company restaurant

  • Unlimited access to the Coursera training platform to enhance your experience.

  • Employee events (Masterclasses, conferences, etc.)

All in a friendly, supportive environment that will help you to progress and build a solid professional network: 90.4% of our interns and alternates recommend us as an employer (Happy Trainees 2024)!

Pernod Ricard is committed to diversity and inclusion: we are a disability-friendly company, one of France's Top 10 companies for gender equality, and we work with associations to promote social inclusion. Our recruitment methods focus on competencies to ensure equal opportunities.

Job Posting End Date:

Target Hire Date:

2027-04-01

Target End Date:

2027-06-30