Machine Learning Engineer

emagineSweden13 days ago

Full-timeEngineering, Information Technology

Track This Job

Add this job to your tracking list to:

Monitor application status and updates
Change status (Applied, Interview, Offer, etc.)
Add personal notes and comments
Set reminders for follow-ups
Track your entire application journey

Save This Job

Add this job to your saved collection to:

Access easily from your saved jobs dashboard
Review job details later without searching again
Compare with other saved opportunities
Keep a collection of interesting positions
Receive notifications about saved jobs before they expire

AI-Powered Job Summary

Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.

Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.

We are looking for a Machine Learning Engineer to our retail client.

Period from: 2025-10-13

Period to: 2026-06-30 with possible extension

Location: Required to be in Stockholm on-site minimum 3 days per week

Job description:

Soft skills:

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

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

Deep Knowledge in DBT, preferably with GCP

Deep knowledge of SQL

Deep understanding with Data modeling, system design

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 recommendation, and personalization systems is considered a merit.

Required cloud certification: Professional Machine Learning Engineers

Key Skills

Ranked by relevance

Ready to apply?

Join emagine and take your career to the next level!

Application takes less than 5 minutes

Apply