MLOps Engineer


260,000 - 400,000 ₽/мес на руки

переезд (Вильнюс, Литва).
Продуктовая компания
размер команды
6 - 10 человек

Flo − №1 period tracker in the US by active audience, most downloaded health app in App Store. Flo have 36M monthly active users.

At Flo they go from idea to production in minutes. In this role you own the end-to-end Machine Learning Pipeline together with CI/CD for their ML Engineering process. You focus on code, versioning of datasets, models and production endpoints to allow ML Engineers to collaborate, experiment and scale fast.


Python, Scala, Go, AWS, Jenkins.


  • ML Pipeline Automation.
  • Continuous Integration for Machine Learning projects.
  • Continuous Delivery for Machine Learning projects.
  • Improve and advance DataOps and MLOps infrastructure and operational processes.


  • 4+ years of industry experience in applied ML.
  • Strong proficiency with Python, Scala and/or Go.
  • Experience with AWS or other cloud providers.
  • Experience with Jenkins or other build tools.
  • Experience with ML Inference servers such as Triton, KFServing, or Seldon Core.
  • Experience with Kubeflow, MLFlow or Sagemaker.

Nice to have

  • Experience with infrastructure as code tools such as Terraform, Cloudformation, Ansible, Puppet or Chef.
  • Experience with Kubernetes.
  • Experience with Spark and/or databricks.
  • Experience at the tier 1 product company or related experience working within the product organization.

Benefits include

  • Getting stock options after the first year of work in the company.
  • 60$ in a month for sports, medicine, trainings.
  • Modern office in “dana center’’.
  • Corporate events.
  • Participation in conferences and trainings.
  • Corporate library.
  • Flexible working day.
  • 27 calendar days for vacation and 5 sick days.
  • The salary range for this position in Vilnius, Lithuania is 4000 - 7500 € gross per month.
Александра Озоль-Воробьева IT Recruiter

О компании FLO

Продуктовая компания
101 - 1000

Flo - самое скачиваемое health-приложение в США и Европе в 2019г. В основе продукта алгоритмы искусственного интеллекта и фокус на безопасности данных.