Your role is to build our machine learning development platform and bring state-of-the-art machine learning solutions to production.
Your main responsibilities will be:
The ideal candidate loves to interact with our team members and clients, identifying areas of improvement of our infrastructure, and brings excellent technical skills in order to ensure a robust productionization of our machine learning models. We are looking for driven, capable, and prudent talents with proven track records of personal, academic, and professional achievement. Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team.
You are a great fit for our team if you bring these qualifications:
MSc in computer science, software engineering, or a related technical field or equivalent working experience
Strong programming skills in Python and bash
More than 3 years of experience with one or more of the following cloud providers: Google Cloud Platform, AWS, Azure
Previous experience with infrastructure as code (e.g. Terraform or Ansible)
Experience developing CI/CD pipelines (Cloud build, Jenkins, Circle CI, Travis, or similar)
Experience in ML pipelining (e.g., MLFlow, Flyte, Kubeflow, Spark)
More than 3 years of experience running and monitoring distributed systems with Kubernetes and Docker
Experience in leading other engineers
Fluency in English