Senior Lead Machine Learning Engineer

Paris 75017

Applications have closed

ManoMano

ManoMano : tous vos produits de bricolage, rénovation et jardinage au meilleur prix

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Launched in 2013 and following 8 years of strong growth, French Home Improvement tech company ManoMano seems unstoppable! Thanks to the success of our fundraising (300 million euros so far), we now have more than 650 Manas & Manos located across our 3 offices: Paris, Bordeaux and Barcelona. Our business platforms are represented in 6 countries: France, Belgium, Italy, Spain, UK and Germany. They carry over 7 million products and work with more than 3,600 sellers highly selected.  Proud to be part of the Next 40 since 2019 (Top 40 French startups), we have the objective to reinvent the Home Improvement experience by providing customers a one stop shop solution for easy access to online tips, products and innovative services. More than anything, joining ManoMano presents a fantastic personal experience, where global projects and core values are underpinned by individual skills.Our camaraderie, efficiency and employee-focused mindset (particularly important to us!) have led ManoMano to become renowned for the optimal working conditions it provides. Have a look at our Blog : https://medium.com/manomano-tech
Be challenged at ManoMano. The Data Science team is an applied Machine Learning team with a focus on delivery.
We build ML systems - either internal (e.g., product classification, demand forecasting) or customer-facing (e.g., search, recommendations) - to improve business outcomes.
We're looking for a Senior Machine Learning Engineer to expand our team and build some of the most innovative data products at ManoMano.
You will:-Work with Data Scientists to explore and productionize model improvements.-Build and orchestrate machine learning pipelines to train and deploy models.-Contribute to and promote good software engineering practices across the team.-Have end-to-end ownership of ManoMano’s ML infrastructure.-Write production-ready code.

Requirements:

  • We hire for slope, not Y-intercept. No specific technical skills are required.
  • Experience building production ML systems.
  • Proficient oral and written communication skills in English. French is not required.
  • Collaborate well in a team environment.
  • Growth mindset: love learning and seek challenges.
  • Understand machine learning principles (training, validation, etc.).
  • Software engineering fundamentals.

  • Bonus points:
  • Experience working with real-time, large-scale data processing

  • [We're actively seeking applications from candidates of all backgrounds. include family-friendly policies in job descriptions and on careers websites]
If all the above rings a bell, it probably means that we are meant to meet each other ! Please get in touch.« So, come and plant the seeds of your success and gather the fruits of your labour »

Tags: Classification Engineering Machine Learning Pipelines

Perks/benefits: Career development Salary bonus

Region: Europe
Country: France
Job stats:  14  1  0

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