Want to join a fast-moving company, work among convivial teams and take part in the global growth strategy of one of the most prestigious and comprehensive portfolios in the wine & spirits industry? We are looking for our Machine Learning Engineers! You will be based at The Island, our office in central Paris.

In this role, you'll have the chance to roll up your sleeves to make the date science models operational.

Your key missions:

Report directly to the manager of team Machine Learning Engineers and Research Scientists, you will join our cross-functional team of machine learning engineers, research scientists, data scientists and data engineers to contribute to the 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 ML 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 identify new opportunities to improve go-to-production, MLOps processes.

• 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!

Your profile:

• You have a master diploma (or equivalent) in Computer Science, Computer Engineering, or quantitative science fields, a PhD is a plus.

• You have more than 2 years implementation experience with high-level languages, such as Python, Scala, Java, C/C++.

• You have knowledge and experience with cloud and deployment technologies. Knowing Microsoft Azure is a plus.

• You have experience in building or improving CI/CD pipelines.

• You have knowledge and experience with container tools such as Docker.

• You are familiar with MLOps practices (Azure ML Studio, Mlfow)

• You have knowledge and experience in designing and building APIs with Python

• You have first experiences in data science and applying machine learning algorithms and libraries (Pandas, Scikit-learn, Pytorch ...)

• You are fluent in English, speaking French is a plus.

We will appreciate if you are familiar with:

• Microservices architecture

Your soft skills:

• You have very good oral and written communication skills

• You have an analytic reasoning and problem-solving skills.

• You are service-oriented, flexible and a team player.

• You have a real attention to detail and a technical intuition.

• You are driven by passion and willingness to learn and explorer.

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

Wait, there's more...

We offer you an outstanding and collaborative workplace that embodies our sharing & conviviality culture, the possibility to work from home (2 days a week), a very complete health insurance, an attractive compensation including profit-sharing, 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.

Job Posting End Date:

Target Hire Date:
2024-07-01

Target End Date: