Ml engineer - h/f

L'entreprise

Powered by talented and passionate people working hard on democratizing the cloud, Scaleway, the 2nd leading European infrastructure cloud provider, is a multicultural company, rapidly growing into a global brand. We are present in 160 countries, with more than 300 employees of 18 nationalities.

We are a cloud computing pioneer delivering the innovative capabilities of modern multi cloud, covering a full spectrum of services for professionals: public cloud services with Scaleway Elements, private infrastructures and colocation with Scaleway Datacenter and bare Metal infrastructures with Scaleway Dedibox.

We place people at the heart of our purpose as an enabler of the internet. Our organization encourages responsibility, autonomy, commitment and thought leadership from our collaborators. Our premises are open spaces, conducive to exchange and interaction between individuals.

We believe it is our responsibility to be a positive force in society and to collectively design new systems for a better future. We want to increase access to the digital and technology industry. As our business scales, the customers we serve are increasingly diverse and global. Giving them an unbeatable experience is central to our business strategy. To better understand our customers and partners, we need a workforce that’s as diverse as they are.
Our Diversity Equity and Inclusion (DE&I) strategy is a strategic asset for nurturing our future business growth, highly visible to our customers and partners. Scaleway has committed to take a proactive approach to develop the rich skills and competencies of all our workforce and to open up professional opportunities in creative and flexible ways, so that we can truly enjoy the rewards of working in a highly diverse, inclusive and global team, no matter the gender, religious beliefs or ethnicity.

Join a community of more than 300 passionate people and become part of a growing company rooted in the world of tomorrow.

Le poste

Fondée en 1999, Scaleway est la filiale cloud du groupe Iliad, l’un des leaders des télécommunications en Europe. Notre mission est de favoriser une industrie numérique plus responsable en aidant les développeurs et les entreprises à créer, déployer et adapter des applications à n'importe quelle infrastructure.

Depuis nos bureaux situés à Paris et à Lille, nous perfectionnons quotidiennement l'écosystème cloud de Scaleway, dont nous sommes les premiers utilisateurs.

Nos quelques 25 000 clients nous choisissent pour notre redondance multi-AZ, notre expérience-utilisateur fluide, nos datacenters neutres en carbone ainsi que nos outils natifs de gestion d'architectures multi-cloud. Nos produits incluent des solutions entièrement gérées pour le bare metal, la conteneurisation et les architectures serverless, offrant ainsi un choix responsable dans le domaine du cloud computing.

Rejoignez notre équipe dynamique de près de 600 collaborateurs venant de divers horizons, dans un environnement stimulant et international alliant excellence technique, créativité et partage.

About the job

The newly established Inference team at Scaleway is on a mission to revolutionize how Machine Learning (ML) is deployed and scaled in the cloud. We are seeking a talented ML Engineer to join us in developing and deploying Large Language Model (LLM) endpoints on both dedicated instances and serverless environments. As we plan to broaden our offerings to include various types of ML models later this year, this role offers a unique opportunity to be at the forefront of ML technology and its application in the cloud.

Reporting to our Manager, Grégoire de Turckheim, you will play a crucial role in building and optimizing ML model deployments, ensuring high performance, scalability, and reliability.

Profil recherché

  • Proficient in Python and familiar with other programming languages such as Go.
  • Strong background in Machine Learning, including experience with LLMs, NLP, or other ML model types.
  • Experience with ML frameworks (e.g., TensorFlow, PyTorch) and understanding of MLOps principles.
  • Knowledge of deploying ML models in cloud environments, including serverless architectures.
  • Familiarity with container technologies (Docker, Kubernetes) and orchestration systems.
  • Understanding of REST and gRPC APIs for integrating ML models into applications.
  • Excellent command of English, both written and verbal.


  • Good understanding of Linux system administration and cloud ecosystems.

  • Optimize ML models for high performance and low latency in cloud environments.
  • Design, develop, and maintain scalable and efficient ML model deployments, focusing on LLMs initially and expanding to other models.
  • Collaborate with the Inference team to architect and implement serverless solutions for ML model hosting.
  • Ensure the reliability, availability, and security of ML model deployments.
  • Stay abreast of the latest ML technologies and cloud trends to continuously improve our offerings.


  • Programming Languages: Python, Go
  • ML Frameworks: TensorFlow, PyTorch
  • Container Technologies: Kubernetes, Docker
  • Cloud and Serverless Technologies
  • Linux Systems
  • Data Storage: S3, PostgreSQL, Redis
  • Version Control: Git

    • Location
    This position is based in our offices in Paris or Lille (France)

    Recruitment Process  
    Screening call - 30 mins with the recruiter 
    Manager Interview - 45 mins
    Technical Interviews / or Home Assignment
    Team Interview
    HR Interview - 45 mins
    Offer sent


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    Document(s) :

    • Curriculum Vitæ