Machine Learning Engineer Intern - Paris - January 2027

Posted 3 Days Ago
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Paris, Île-de-France, FRA
In-Office
1K-2K Annually
Internship
Other
The Role
Support MLOps implementation and maintain machine learning models in production. Build scalable pipelines, develop production-quality services, implement unit and integration testing, manage CI/CD and DevOps practices, maintain APIs, improve go-to-production processes, and contribute across the software development lifecycle and data platform community.
Summary Generated by Built In

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

Skills Required

  • Currently pursuing a BS or MS in Computer Science, Computer Engineering, or a quantitative science field
  • Implementation experience with high-level programming languages such as Python, Scala, Java, C, or C++
  • Experience building or improving CI/CD pipelines
  • Experience with machine learning
  • Knowledge and experience with container tools such as Docker
  • Familiarity with MLOps frameworks such as Azure ML Studio, MLflow, or Kubeflow
  • Fluency in English
  • Ability to complete a six-month internship with an agreement issued by a school or university
  • PhD in a relevant field
  • French language proficiency

Pernod Ricard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pernod Ricard and has not been reviewed or approved by Pernod Ricard.

  • Healthcare Strength — Pay and benefits are described as strong overall, supported by comprehensive medical, dental, and vision coverage alongside life and disability insurance. Wellbeing support is reinforced through mental-health resources and broader wellness programming.
  • Retirement Support — Retirement benefits are positioned as a standout part of the package, including a 401(k) with a match and an additional profit-sharing contribution for eligible employees. A legacy defined-benefit pension is also referenced for certain earlier hires, adding depth to long-term financial support.
  • Parental & Family Support — Family-related benefits are unusually broad, including paid parental leave, paid caregiver leave, backup child/elder care resources, and adoption/surrogacy reimbursement. Additional supports such as Milk Stork and fertility/ART coverage further strengthen family-building coverage.

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The Company
HQ: Paris
19,297 Employees

What We Do

Pernod Ricard is a convivial, responsible and successful global wine and spirits group and the #1 premium spirits organisation in the world. The Group represents 240 premium brands available in more than 160 countries. We are 18,500 exceptionally talented people worldwide with our own salesforce in 73 countries. Our portfolio is one of the most comprehensive in the market with every major category of wine and spirits, providing Pernod Ricard with a unique competitive advantage. To keep growing our business, transforming our industry and making a positive impact on the world, we believe in the power of human connection. Creating ‘convivialité’ is our business and our raison d’être. As ‘créateurs de convivialité’, our purpose is to turn every social interaction into a genuine, friendly and responsible experience of sharing. We believe there can be no convivialité with excess and strive to be sustainable and responsible at every step, from grain to glass.

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