Machine Learning Engineer

About the job

We, Pernod Ricard – a world leading company in the Wine & Spirits industry – are looking for an AI/Machine Learning Engineer, 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 data science solutions operational.

Responsibilities

• Contribute to the MLOps process implementation to maintain ML models in production.
• Collaborate with the team to deploy or improve scalable and efficient ML pipelines using best MLOps practices.
• Collaborate with the team on production‑quality service development with Unit & Integration testing, CI/CD & DevOps for these services.
• Identify new opportunities to improve go‑to‑production, MLOps processes.
• Apply software development practices and standards to enhance and ensure the code quality of our applications.
• Maintain an active role in every part of the software development life cycle.

Your profile

• Master diploma (or equivalent) in Computer Science, Computer Engineering, or quantitative science fields; PhD is a plus.
• More than 2 years implementation experience with high‑level languages such as Python, Java, C/C++.
• Knowledge and experience with cloud and deployment technologies; Microsoft Azure is a plus.
• Rich knowledge in GenAI – LLM and Agent.
• Experience in building or improving CI/CD pipelines.
• Knowledge and experience with container tools such as Docker.
• Familiarity with MLOps practices (Azure ML Studio, Mlflow).
• Knowledge and experience in designing and building APIs with Python.
• Experience in data science and applying machine learning algorithms and libraries (Pandas, Scikit‑learn, PyTorch ...).
• Fluent in English; speaking French is a plus.

Your soft skills

• Very good oral and written communication skills.
• Analytic reasoning and problem‑solving skills.
• Service‑oriented, flexible and a team player.
• Real attention to detail and technical intuition.
• Driven by passion and willingness to learn and explore.

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

Benefits

• Outstanding collaborative workplace that embodies our sharing & conviviality culture.
• Opportunity to work from home (2 days a week).
• Very complete health insurance.
• Attractive compensation including profit‑sharing.
• Daily training.
• Employee events.