Technical Machine Learning Engineer

Transformation Hub AB / Datajobb / Stockholm
2023-10-09


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Right now, we are looking for a consultant for the position of Technical Machine Learning Engineer for a client in Stockholm!

Start: 11/01/2023
End: 06/30/2024

Scope: 100%

The assignment currently allows for both remote work (up to 50%) and on-site work at the client's office in Stockholm.

Mandatory requirements:

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

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 or Azure DevOps using best practice

• Docker: Deep understanding with Docker

• DBT: Deep Knowledge in DBT, preferably with GCP

• SQL: Deep knowledge of SQL

• Deep understanding with Data modeling, system design

Soft skills:

• Can do attitude, always try to solve sth alone first

• 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

Apply by the 15th October with:

• Updated CV in Word format.


Your availability.

• Desired hourly rate.

Ersättning
Lön enligt överenskommelse

Så ansöker du
Sista dag att ansöka är 2024-03-27
Klicka på denna länk för att göra din ansökan

Omfattning
Detta är ett heltidsjobb.

Arbetsgivare
Transformation Hub AB (org.nr 559163-5221), https://tyfoon.se

Arbetsplats
Tyfoon

Kontakt
Alve Carr
alve@tyfoon.se

Jobbnummer
8176467

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