Machine Learning Software Engineer

il y a 2 semaines


Paris, Île-de-France Akeneo Temps plein

Akeneo Product Cloud is a powerful solution designed to orchestrate, activate, and optimize product experiences across all owned and unowned channels. With its open platform, leading PIM (Product Information Management) system, add-ons, connectors, and marketplace, Akeneo Product Cloud enhances product data quality and accuracy, simplifies catalog management, and accelerates the sharing of product information across various channels and locales.

At Akeneo, our team members are the driving force behind our success. We foster a first-class work environment and culture rooted in our core values: Humility, Benevolence, Openness, Innovation, and Collaboration.

About the Role

We are seeking a skilled Machine Learning Software Engineer to join our team and focus on optimizing the infrastructure supporting our cutting-edge product offerings. You will play a crucial role in ensuring the scalability, reliability, and performance of our systems.

Your Responsibilities
  • Design, develop, and implement robust infrastructure solutions to support machine learning models and algorithms.
  • Optimize existing infrastructure for improved efficiency, scalability, and resource utilization.
  • Collaborate with data scientists and engineers to integrate machine learning models into production environments.
  • Monitor system performance, identify bottlenecks, and implement solutions to enhance reliability.
  • Stay abreast of emerging technologies and best practices in machine learning infrastructure.
Your Profile

You are a passionate and experienced software engineer with a strong understanding of machine learning principles and infrastructure requirements. You possess excellent problem-solving skills and a collaborative approach to work.

  • Proven experience in designing, developing, and deploying machine learning infrastructure solutions.
  • Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP).
  • Expertise in containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with monitoring and logging tools for machine learning systems.
  • Strong programming skills in Python or other relevant languages.

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