Machine Learning Engineer

For our client we are looking for Machine Learning Engineer.

Top Skills
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