Machine Learning Engineer, Pernod Ricard

• 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
• 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

Desirable

• 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
• 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