Machine Learning Engineer

Period from: 2026-03-01

Period to: 2026-08-31

Location: On-site in Stockholm minimum 4 days a week

Job description:

• GCP requirements:
  
  

Familiar with Vertex AI pipeline/kubeflow pipelines

Familiar with BigQuery

Can code SQL

Familiar with Cloud composer / airflow

Familiar with IAM, service account

Familiar with Data catalog

Understand Infrastructure as Code

Good to have knowledge with Dataflow, and K8s.

Cloud agnostic skills:

• Python:
  
  

Deep knowledge about python programing, practice OOP, following coding best practice, know how to use flake8, mypy, black, SonarQube and pre-commit

Deep knowledge in unit test and end to end test, familiar with Pytest, fixtures, unittest etc

• DBT
  
  

Deep Knowledge in DBT, preferably with GCP

• Unix:
  
  

Familiar with popular Unix system, know how to install sth in docker.

Familiar with shell

• Git:
  
  

Know how to create PR and solve merge conflict.

Can create CI/CD pipeline in either Github Action using best practice

• Docker
  
  

Deep understanding with Docker

• SQL
  
  

Deep knowledge of SQL

Deep understanding with Data modeling, system design

• Soft skills:
  
  

Can do attitude.

Problem solving, even if there is sth new that you don't know. You have a proper way to solve it. For example, knowing how to Google is always good.

Communication skills with Stakeholders and tech ppl.

Love code review and feedback

This role is in a team that works with customer-facing recommendation systems, so previous experience with high-availability APIs, machine learning–based recommendations, and personalization systems is considered a merit.

Required cloud certification: Machine Learning certification. Consultant is expected to have certificate at latest 1 month after start, if not already certified.