Senior Machine Learning Engineer

Swediumglobal; Stockholm; On-site; SEK 558,000 - 781,200; Full time

Job summary

A leading technology firm in Stockholm is seeking a Senior ML Engineer to develop and deploy machine learning models. The ideal candidate has deep expertise in GCP, Python, and experience with data pipelines. This is an on-site role requiring at least 2-3 days per week at the office. The position offers the chance to work on innovative projects in a dynamic environment.

Qualifications

• Deep knowledge of Python programming, OOP, and coding best practices.
• Familiarity with popular Unix systems and Docker.
• Deep understanding of SQL and data modeling.
• Experience creating CI/CD pipelines and solving merge conflicts in Git.

Responsibilities

• Develop and deploy ML models using GCP tools.
• Implement data pipelines and ensure data quality.
• Collaborate with teams to integrate ML solutions.

Skills

BigQuery and SQL

Cloud Composer/Airflow

IAM and service accounts

Data Catalog

Infrastructure as Code

Dataflow

Kubernetes

Vertex AI pipeline

Kubeflow pipeline

Python programming

Unit testing

Unix

Docker

DBT

Data modeling

Education

GCP Professional Machine Learning Engineer certification

Tools

Git

Github Actions

Job description

Swedum Global is looking for a Senior ML Engineer for one of its customer

Start:ASAP

Location:Stockholm on-site minimum 2-3 days per week

GCP requirements:

• 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, K8s, Vertex AI pipeline, Kubeflow pipeline

1. 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

2. Unix:

• Familiar with popularUnix system, know how to install sth in docker.
• Familiar with shell

3. Git:

• Know how to create PR and solve merge conflict.
• Can create CI/CD pipeline in Github Actions using best practice

4. Docker

• Deep understanding with Docker

5. DBT

• Deep Knowledge in DBT, preferably with GCP

6. SQL

• Deep knowledge of SQL
• Deep understanding with Data modeling, system design

Required cloud certification: GCP Professional Machine Learning Engineer

Job Overview

• Location : Stockholm, Sweden
• Vacancy : 1