Synthesia

ML Platform Engineer - ML Ops

Synthesia

Overview

Role involves developing and managing a high-scale ML platform and collaborating with research teams.

Ideal candidate has 5+ years of experience in ML Platform Engineering and strong skills in cloud technologies.

hybridmidEnglishKubernetesAWSGCPAzureCI/CDdata pipelines

Locations

  • Netherlands, North Holland, Amsterdam
  • United Kingdom, England, London
  • Switzerland, Zürich, Zürich
  • Germany, Bavaria, Munich

Requirements

  • 5+ years experience
  • Background in Computer Science, DevOps, ML Platform Engineering
  • Experience with Kubernetes and Cloud Native technologies
  • Experience with major Cloud Providers
  • Coding skills in Python

Responsibilities

  • Develop high-scale compute & data platform
  • Manage cloud infrastructure and tooling
  • Collaborate with Researchers/Data Scientists
  • Set up infrastructure for ML/Data Teams
  • Deploy large deep learning models

Benefits

  • Attractive compensation
  • Hybrid work setting
  • 25 days annual leave
  • Great company culture
  • Generous referral scheme
  • Strong career growth opportunities