MLOps Engineer – METRO.digital

Website METRO.digital

Today technology is driving the world. And at METRO digital we are driving the technology for one of the leading international wholesalers specializing in food – METRO. From ecommerce to checkout, to delivery software, we work on a wide range of products to meet the needs of our users – METRO’s customers and employees from across 25 countries. With passion and responsibility, we move the wholesale industry towards digitization and leverage METRO’s long history and expertise in B2B for building a more sustainable market ecosystem.

Your new challenges:

  • You will build and deploy robust inference APIs that improve the overall quality of our existing recommendations serving layer
  • Collaborate with technical and non-technical colleagues to set up and perform online experimentation of our production models (A/B testing, traffic shifting, payload logging)
  • Collaborate with software/DevOps engineers, data engineers, and applied ML scientists to support tooling for enhancing monitoring and analysis of existing as well as future recommender products

What you need to bring:

  • You have 2 years of industry experience as a Software Engineer, Machine Learning Engineer or in an adjacent role
  • You have excellent communication skills and the ability to translate business requirements into impactful and maintainable engineering solutions
  • You are confident in engineering topics such as testing/monitoring/tracing, CI/CD, microservices, and provisioning of cloud managed services
  • You are excited about machine learning as well as working within a cross-functional team serving company-wide product recommendations

What makes you stand out:

  • You have extensive knowledge on either Python or Golang
  • You have experience in building, scaling and monitoring low latency inference REST/gRPC APIs
  • You have experience with Kubernetes, Istio and/or Google Cloud managed services
  • You have experience with running experiments (A/B testing, multi-armed bandit) in a production environment
  • You are passionate about open source projects and do actively contribute

Our tech stack:

  • Google Cloud (Vertex AI/AI Platform, GCS, …)
  • FastAPI, Seldon, Tensorflow/Keras
  • Kubernetes (GKE), Kubeflow, Istio
  • Terragrunt/Terraform, FluxCD
  • Argo (Workflows/Events)
  • DBT, BigQuery, ElasticSearch
  • Python, Golang, Docker
  • DataDog
  • Github

Our benefits:

  • Flexible working hour. Flexible working location.
  • Choose your Macbook.
  • 13th month salary. Performance bonus.
  • 22 days annual leave. 10 days of sick leave/dependence care. 1 day birthday leave.
  • Private health insurance for employee. Cover for up to 5 dependents.
  • Budget for personal development. Additionally, access to internal learning platform (M.Power, House of Learning, etc.) and external ones (O’reilly, etc.). English training provided.
  • Monthly allowances for meal, phone, transportation, etc.
  • Monthly team event. Quarterly family activity. Annual company trip.

You must sign in to apply for this position.

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