Machine Learning engineer wanting to specialize in MLOps
Type of internship: Full time
Department: IT
Minimum 6 months

Mission description:

Design the architecture for the integration and continuous deployment of an AI Agent and a semi-supervised machine learning model.

Main responsibilities:

  • Collaborate with the Koors.io Data Scientist to define the requirements in terms of availability, transparency, reproducibility and maintainability of the various models.
  • Design, develop and implement pipelines for deploying our models in production.
  • Evaluate the performance of models in production and propose optimizations.
  • Document processes, standards and best practices in order to facilitate the transfer of knowledge and standardize practices between the different teams.

What you will learn:

  • You will learn to make architecture and solution choices, to justify them and to implement them.
  • You will gain practical experience in scripting, automation, containerization, versioning, and configuration management.
  • You will master the key concepts of a micro-service event architecture.
  • You will work in agile mode within a multidisciplinary team.

Technical Stack:

  • Language: Python/SQL
  • Cloud & DevOps: AWS/Docker/Kubernetes

Recruitment process:

  1. Prepare your file : Choose your subject from the list proposed in the PFE book.
  2. Send your application : Send your application along with your updated CV for the selected subject.
  3. Interview and selection : The pre-selection of CVs will be carried out by our HR manager and the technical team. If your application is successful, we will contact you to organize the necessary interview (s).
  4. Integration: If you are selected, our team will be ready to welcome you and support you in your journey at SlasHup Studio.

If you too want to join this adventure, do not hesitate to apply. Otherwise, feel free to share it with people who can match.