Machine Learning Engineer Intern - Paris - January 2027
Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou 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
From the employer’s posting
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 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 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
Education & alternatives
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++
Tools in this posting
- Java
- Python
- Scala
- Azure
- MLflow
- C++
- C
- Docker
Source — Tool mentions in context
- 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
- 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…)
Job description
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:
2027-04-01Target End Date:
2027-06-30Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on pernodricard.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 23, 2026
- Recorded sightings
- 38
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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