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 Pernod Ricard is a worldwide leader in the spirits and champagne industry, blending traditional craftsmanship, state-of-the-art brand development, and global distribution technologies. Our prestigious portfolio of premium to luxury brands includes Absolut vodka, Ricard pastis, Ballantine’s, Chivas Regal, Royal Salute, and The Glenlivet Scotch whiskies, Jameson Irish whiskey, Martell cognac, Havana Club rum, Beefeater gin, Malibu liqueur and Mumm and Perrier-Jouët champagnes. Our mission is to ensure the long-term growth of our brands with full respect for people and the environment, while empowering our employees around the world to be ambassadors of our purposeful, inclusive and responsible culture of authentic conviviality. Pernod Ricard’s consolidated sales amounted to € 10,959 million in fiscal year FY25. Pernod Ricard is listed on Euronext (Ticker: RI; ISIN Code: FR0000120693) and is part of the CAC 40 index.

Machine Learning Engineer Intern - Paris - January 2027.

more at Pernodricard.

Cybersecurity Officer

Associate Creative Content Manager

Data Hubs Lead

similar roles.

Senior Software Engineer, AI

GE Aerospace Data Science - 12 Month Placement, Eastleigh

Sr Staff Data Scientist

Data & AI Product Manager

Associate Enterprise AI Solutions

Senior Generative AI Designer