{"id":1140318,"url":"https://alion.io/job/pernod-ricard-machine-learning-engineer-intern-paris-january-2027","title":"Machine Learning Engineer Intern - Paris - January 2027","company":{"id":449971,"name":"Pernod Ricard","domain":"pernod-ricard.com","url":"https://alion.io/company/pernod-ricard-2","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":57,"ghost_share":0,"stale_share":0.895,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":185000,"period":"year","method":null,"sample_n":3649},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Azure","optional":true},{"name":"C++","optional":true},{"name":"Docker","optional":true},{"name":"Java","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-23T10:47:22Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T01:02:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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).\nIn 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.\nYour key missions:\nYou will contribute to the MLOps process implementation to maintain ML models in production\n\nYou will collaborate with the team to deploy or improve scalable and efficient pipelines using best MLOps practices\n\nYou will collaborate with the team on production quality service development with Unit & Integration testing, CI/CD & devOps for these services\n\nYou will maintain and contribute to the API serving our web application\n\nYou will identify new opportunities to improve go-to-production, MLOps processes and improve end-to-end experiences\n\nYou will apply software development practices and standards to enhance and ensure the code quality of our applications\n\nYou will maintain an active role in every part of the software development life cycle\n\nYou will actively contribute to Data platform community\n\nIf you recognize yourself in the description below, don’t wait to apply!\nYou are pursuing a BS/MS in Computer Science, Computer Engineering, or quantitative science fields, a PhD is a plus\n\nYou have implementation experience with high-level languages, such as Python, Scala, Java, C/C++\n\nYou have experience in building or improving CI/CD pipelines and in machine learning\n\nYou have knowledge and experience with container tools such as Docker\n\nYou are familiar with MLOps frameworks (Azure ML Studio, MLFlow, Kubeflow…)\n\nYou are fluent in English, speaking French is a plus\n\nPlease note: to apply, you must be able to complete 6 months of internship and have an agreement issued by your school/university.\nAnd you'll benefit from these advantages:\nGross salary from 1410€ (Bac +4 and gap year) to 1550€ (Bac +5) per month\n\nPossibility to work from home up to 2 days a week.\n\nCompany restaurant\n\nUnlimited access to the Coursera training platform to enhance your experience.\n\nEmployee events (Masterclasses, conferences, etc.)\n\nAll 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)!\nPernod 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.\nJob Posting End Date:\nTarget Hire Date:\n2027-04-01 Target End Date:\n2027-06-30","description_format":"text","description_chars":2901,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"French","level":"All levels","optional":true},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages","Viticulture","Wine & Winemaking"],"lifecycle":[{"event":"open","at":"2026-09-23T10:47:22Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":42,"reasons":["conf:3","win:early","comp:junior,brand"],"computed_at":"2026-09-23T14:41:18Z"},"pay":null,"html_url":"https://alion.io/job/pernod-ricard-machine-learning-engineer-intern-paris-january-2027","json_url":"https://alion.io/job/pernod-ricard-machine-learning-engineer-intern-paris-january-2027.json","meta":{"generated_at":"2026-09-23T14:41:18Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}