Job Description

We're looking for a passionate DevOps Engineer to join our innovative Data Science team. 🚀

You'll be the crucial link between our machine learning models and our production environment, responsible for building the infrastructure that allows our data scientists to create and deploy cutting-edge solutions at scale.

In this role, you won't just be deploying models; you'll be building and automating the entire ML lifecycle. If you love solving complex problems and want to productionize state-of-the-art AI, this is the perfect opportunity for you.

Key Responsibilities

  • Design and Build ML Infrastructure: Create, manage, and scale the infrastructure required for training and deploying our machine learning models.
  • Automate ML Pipelines: Develop and maintain robust CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines for the full ML lifecycle.
  • Deploy & Serve Model...

Ready to Apply?

Take the next step in your AI career. Submit your application to Dialectica today.

Submit Application