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Pernod Ricard

Machine Learning Engineer Intern - Paris - January 2027

  • Seen live on Pernod Ricard's site today
  • Intern / co-op
Pay
Not stated
Location
Paris
Open for
12+ days
First seen
Oct 23, 2026
Apply on Pernod Ricard's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Pernod Ricard's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Pernod Ricard, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

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