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Machine Learning Software Engineer

il y a 1 mois

Paris, Île-de-France Akeneo Temps plein
About Akeneo

Akeneo is a leading provider of Product Information Management (PIM) solutions, empowering businesses to create and manage product experiences across all channels and locales.

Job Description

We are seeking a highly skilled Machine Learning Software Engineer to join our team. As a key member of our Machine Learning/AI team, you will be responsible for designing and implementing automatic training pipelines on large datasets and scalable ways to serve them for inference.

Our team is passionate about using machine learning to improve our customers' experiences. We work closely with research scientists to develop and deploy machine learning models that automate tasks such as product categorization and attribute extraction.

Responsibilities
  1. Write robust Python software code in our machine learning repository, applying best software practices to support research scientists in tasks such as fetching training data, preprocessing it, and orchestrating the training runs.
  2. Optimize the inference software to apply multiple machine learning models within the same job, especially for extraction where we have multiple models running for this task, according to the attribute's nature.
  3. Maintain the infrastructure in which the ML models are trained and deployed.
Requirements
  • Strong experience with Python and software engineering best practices, ideally in a company where you worked hands-on with machine learning engineers and data scientists.
  • Understanding of modern machine learning concepts and state-of-the-art deep learning.
  • Write clean and maintainable code.
  • Ensure software quality through testing and code review.
  • Optional: DevOps experience, especially in managing large-scale ML infrastructure.
  • Optional: Experience working with training frameworks, ideally PyTorch.
About the Team

We are a diverse and cross-cultural team, passionate about using machine learning to improve our customers' experiences. We believe in creating a safe and inclusive work environment, where everyone feels valued and empowered to contribute.

What We Offer
  • Competitive package and complementary health insurance.
  • Flexible working hours, hybrid home/office policy.
  • 33 days paid leave if you are the second parent (instead of 28 days).
  • Individual and confidential coaching sessions with a mental health practitioner of your choice.
  • Massage sessions offered regularly and at a reduced price.
  • Best-in-class communication and collaboration tools: Slack, Notion, Google Suite, Jira, GitHub...
  • Choose between MacOS or Linux.
  • Personal remote allowance to maximize your home office environment.
  • Participation in in-house events welcoming external guests (ie. Meetups) or industry events.
  • Group and individual training opportunities.
  • Get your Swile lunch card funded at 50% by the company.
  • Receive a 50% discount on the transportation pass of your choice.
  • Comité Social et Economique: advantages and deductions on cultural activities, entertainment etc.
  • Take advantage of our company crèche whether you need a nursery spot (subject to availability), emergency childcare, or care for Wednesdays and school vacations.
  • Employee Volunteering program: give back to the community with two days per year dedicated to supporting the charities of your choice.