Machine Learning Engineer

Job description:

For our client we are looking for **Machine Learning Engineer**.
**Requirements:**
1\. 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
2\. 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
2\. Unix:
* Familiar with popular Unix 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 either Github Action or Azure DevOps using best practice
4\. Deep understanding with Docker
5\. Deep Knowledge in DBT, preferably with GCP
6\. Deep knowledge of SQL
7\. Deep understanding with Data modeling, system design
8\. 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
Please note! We offer continuously. That means that we sometimes remove the assignments before deadline. If you are interested we recommend that you apply immediately.