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  1. All roles
  2. Pernod Ricard SA
  3. Machine Learning Engineer
Pernod Ricard SA logo
Pernod Ricard SA

Machine Learning Engineer

NewOnsiteParis, FranceAI/ML
Apply directly at Pernod Ricard SA

Our Take

Build production ML models and MLOps pipelines for AI projects using Python, Azure, Docker, and GenAI.

What you’ll do

  • Implement MLOps processes to maintain ML models in production
  • Deploy scalable and efficient ML pipelines using best practices
  • Develop production-quality services with Unit Integration testing
  • Apply software development standards across the SDLC
  • Identify opportunities to improve go-to-production MLOps processes

What they’re looking for

  • Master's degree or PhD in Computer Science/Quantitative fields
  • 2+ years experience with Python, Java, C/C++
  • Knowledge of cloud and deployment technologies (Azure plus)
  • Experience building CI/CD pipelines and using Docker
  • Familiarity with MLOps practices like Azure ML Studio or MLflow
  • Expertise in GenAI, LLMs, and Agent development
  • Experience designing APIs using Python

What you get

  • Work from home up to 2 days a week
  • Attractive compensation including profit-sharing
  • Complete health insurance coverage
  • Employee events and collaborative workplace culture

Skills & Focus Areas

  • Python
  • Java
  • C/C++
  • Azure ML Studio
  • MLflow
  • CI/CD
  • Docker
  • GenAI
  • LLM
  • Agent
  • Pandas
  • Scikit-learn

As posted by Pernod Ricard SA

About the job

We, Pernod Ricard - a world leading company in the Wine & Spirits industry -, are looking for an AI/Machine Learning Engineers, based at “The Island”, our global headquarters in central Paris.

In this role, you’ll have the chance to roll up your sleeves to make the date science solutions operational.

Your key missions:

Report directly to the manager of team Machine Learning Engineers and Research Scientists, you will join our cross-functional team of machine learning engineers, research scientists, data scientists and data engineers to contribute to the group AI projects:

· 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 ML 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 identify new opportunities to improve go-to-production, MLOps processes.

· 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.

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

Your profile:

· You have a master diploma (or equivalent) in Computer Science, Computer Engineering, or quantitative science fields, a PhD is a plus.

· You have more than 2 years implementation experience with high-level languages, such as Python, Java, C/C++.

· You have knowledge and experience with cloud and deployment technologies. Knowing Microsoft Azure is a plus.

· You have rich knowledge in GenAI – LLM and Agent.

· You have experience in building or improving CI/CD pipelines.

· You have knowledge and experience with container tools such as Docker.

· You are familiar with MLOps practices (Azure ML Studio, Mlfow)

· You have knowledge and experience in designing and building APIs with Python

· You have experiences in data science and applying machine learning algorithms and libraries (Pandas, Scikit-learn, Pytorch ...)

· You are fluent in English, speaking French is a plus.

Your soft skills:

· You have very good oral and written communication skills

· You have an analytic reasoning and problem-solving skills.

· You are service-oriented, flexible and a team player.

· You have a real attention to detail and a technical intuition.

· You are driven by passion and willingness to learn and explorer.

If you don’t fill 100% of the criteria below don’t panic, we expect you to learn with us in this position.

Wait, there’s more…

We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, the possibility to work from home (2 days a week), a very complete health insurance, an attractive compensation including profit-sharing, train daily, employee events…

Pernod Ricard values diversity and solidarity within its organization and in its relations with stakeholders. Our recruitment methods focus on skills, and we welcome all types of talents.

Job Posting End Date:

Target Hire Date:

2026-09-01

Target End Date:

Apply directly at Pernod Ricard SA
Location
Paris, France
Work mode
Onsite
Type
FULL_TIME
PostedJul 30
Languages
English, French
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Pernod Ricard SA
pernod-ricard.com
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