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:
2026-09-01Target End Date:
Skills Required
- Master's degree in Computer Science, Computer Engineering, or quantitative field
- PhD in a related field
- More than 2 years implementation experience with high-level languages (Python, Java, C/C++)
- Knowledge and experience with cloud and deployment technologies
- Familiarity with Microsoft Azure
- Rich knowledge in GenAI, including LLMs and Agent frameworks
- Experience building or improving CI/CD pipelines
- Knowledge and experience with container tools such as Docker
- Familiarity with MLOps practices and tools (Azure ML Studio, MLflow)
- Experience designing and building APIs with Python
- Experience in data science and applying ML libraries (Pandas, Scikit-learn, PyTorch)
- Unit and integration testing, CI/CD and DevOps best practices for production services
- Fluency in English
- French language skills
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.
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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.
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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.
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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.
Pernod Ricard Insights
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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