MLOps Engineer –


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.

Đăng nhập hoặc đăng ký để nhận thông tin Việc làm IT hấp dẫn.

Việc làm IT chất lượng lương cao

Bài viết liên quan

Đã thêm item vào giỏ hàng.
0 item - 0