Machine Learning Engineer

il y a 15 heures


Paris, Île-de-France Pernod Ricard España SA Temps plein
Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team at Pernod Ricard España SA. As a Machine Learning Engineer, you will play a key role in developing and implementing machine learning models to drive business growth and improve operational efficiency.

Key Responsibilities:
  • Contribute to the development and implementation of machine learning models to solve complex business problems.
  • Collaborate with cross-functional teams to design and deploy scalable and efficient machine learning pipelines.
  • Develop and maintain production-quality software using best practices and standards.
  • Identify opportunities to improve the MLOps process and implement changes to enhance efficiency and effectiveness.
  • Apply software development practices and standards to ensure high-quality code.
Requirements:
  • Master's degree in Computer Science, Computer Engineering, or a related field.
  • At least 2 years of experience in implementing machine learning models using high-level languages such as Python, Scala, Java, or C/C++.
  • Knowledge and experience with cloud and deployment technologies, including Microsoft Azure.
  • Experience in building or improving CI/CD pipelines.
  • Familiarity with container tools such as Docker.
  • Knowledge and experience with MLOps practices, including Azure ML Studio and Mlfow.
  • Experience in designing and building APIs using Python.
  • Familiarity with data science and machine learning algorithms and libraries, including Pandas, Scikit-learn, and PyTorch.
Preferred Skills:
  • Microservices architecture.
What We Offer:

We offer a collaborative and dynamic work environment, the opportunity to work from home (2 days a week), a comprehensive health insurance package, an attractive compensation package, and a range of employee benefits.

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.


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