Qui sommes-nous ?
Convivialité, responsabilité, réussite : trois mots qui caractérisent Pernod Ricard, numéro deux mondial des vins et spiritueux. Le portefeuille du Groupe est l'un des plus complets du marché, avec 240 marques premium distribuées dans plus de 160 pays telles que la vodka Absolut, le rhum Havana Club, les whiskies Chivas et Jameson ou encore les champagnes Mumm et Perrier-Jouët. Avec ses 20 000 Créateurs de Convivialité, Pernod Ricard offre de passionnantes opportunités professionnelles.
Nos avantages
- 2 jours de télétravail pour les postes le permettant
- Accès au catalogue de formation Coursera
- Evènements d'entreprise
Machine Learning/MLOps intern July 2024
- Type de contrat : jr-040276
- Type de contrat : Stage long (6 mois)
- Niveau d'études : Bac + 5 et plus
- Expérience requise : Expérience non précisée
- Salaire : non précisé
- Lieu de travail : Paris
Mission
Fonctions et responsabilités :
Under the supervision of your mentor, an experienced machine learning engineer, you will join our cross-functional team of machine learning engineers, data scientists and data engineers to contribute to our KEY DIGITAL PROGRAMS:
- 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
Profil recherché
- 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
We appreciate if you are familiar with:
- Data Science and machine learning (Pandas, Scikit-learn etc.)
- Microservices architecture
Wait, there’s more…
We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, a very complete mutual insurance, an attractive compensation including profit-sharing, the possibility to 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.
Informations complémentaires
Lien de l'offre : https://pernodricard.wd3.myworkdayjobs.com/fr-FR/pernod-ricard/job/Paris/Machine-Learning-MLOps-intern---July-2024_JR-040276-1
Mission
Fonctions et responsabilités :
Under the supervision of your mentor, an experienced machine learning engineer, you will join our cross-functional team of machine learning engineers, data scientists and data engineers to contribute to our KEY DIGITAL PROGRAMS:
- 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
Profil recherché
- 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
We appreciate if you are familiar with:
- Data Science and machine learning (Pandas, Scikit-learn etc.)
- Microservices architecture
Wait, there’s more…
We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, a very complete mutual insurance, an attractive compensation including profit-sharing, the possibility to 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.
Informations complémentaires
Lien de l'offre : https://pernodricard.wd3.myworkdayjobs.com/fr-FR/pernod-ricard/job/Paris/Machine-Learning-MLOps-intern---July-2024_JR-040276-1