Machine Learning Engineer Intern - Paris - January 2027

Pernod Ricard
Paris
Workplace: OnsiteFull timeEUR 1,410 - 1,550 monthlyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communicative","Intellectually curious","Scrappy","Biased toward action","Collaboration","Code quality focus"]

Build and scale machine learning models in production as an MLOps intern for Pernod Ricard. You’ll help implement MLOps processes, deploy and improve efficient data pipelines, and contribute to production-quality services with unit/integration testing and CI/CD. The role also includes maintaining API services for web applications and applying software development best practices across the full lifecycle, while engaging with the data platform community.

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FursaFursa
Pernod Ricard
Pernod Ricard
23 hours ago

Machine Learning Engineer Intern - Paris - January 2027

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Last checked: 51 minutes agoStatus: Live

Job Summary

Build and scale machine learning models in production as an MLOps intern for Pernod Ricard. You’ll help implement MLOps processes, deploy and improve efficient data pipelines, and contribute to production-quality services with unit/integration testing and CI/CD. The role also includes maintaining API services for web applications and applying software development best practices across the full lifecycle, while engaging with the data platform community.
Location: Paris
Workplace: Onsite
Employment Type: Full time · 6 months
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Contribute to implementing MLOps processes to maintain ML models in production.
  • •Collaborate to deploy or improve scalable, efficient pipelines using MLOps best practices.
  • •Support production quality service development with unit & integration testing and CI/CD/DevOps.
  • •Maintain and contribute to the API serving the web application.
  • •Identify opportunities to improve go-to-production and end-to-end MLOps experiences.

Pay and Benefits

Salary: EUR 1,410 - 1,550 monthly
Perks:Remote WorkRestaurantLearning Budget

Key Requirements

  • •Pursuing a BS/MS in Computer Science, Computer Engineering, or a quantitative science field; a PhD is a plus.
  • •Implementation experience with high-level languages such as Python, Scala, Java, or C/C++.
  • •Experience building or improving CI/CD pipelines and working with machine learning.
  • •Knowledge of container tools such as Docker.
  • •Familiarity with MLOps frameworks such as Azure ML Studio, MLflow, and/or Kubeflow; fluent in English (French is a plus).
Experience:Machine learningMLOpsData pipelines
Education:Bachelor's in Computer Science, Computer Engineering, or quantitative science fields
Skills:CommunicativeIntellectually curiousScrappyBiased toward actionCollaborationCode quality focus
Languages:EnglishFrench
Tech Stack:PythonScalaJavaC/C++CI/CDDockerAzure ML StudioMLflowKubeflowUnit testingIntegration testingAPICI/CD pipelinesDevOpsMLOps

Company Brief

Pernod Ricard
Global producer and distributor of premium wines and spirits, with a portfolio of internationally recognized alcoholic beverage brands. Operates across markets worldwide through manufacturing, marketing, and large-scale distribution.
Industry: Food & Beverage
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 1975
WebsiteLinkedIn