Principle ML Engineer Vertex AI GCP Kubeflow CICD Python BigData

About You:

• University or advanced degree in engineering computer science mathematics or a related field
• 7 years experience developing and deploying machine learning systems into production and independent contributor.
• Comfortable with Python ecosystem Visual Studio Code Jupyter Notebook.
• Experience working with big data tools: Hadoop Spark Kafka etc.
• Experience with at least one cloud provider solution (AWS GCP) and understanding of serverless code development (GCP preferred)
• Experience with objectoriented/object function scripting languages: Python Java C Scala etc. (Python preferred)
• CI/CD expert. And can work on GitHub actions harness Jenkins
• Can work with Google Big Query or similar warehouse.
• Work on Kubeflow pipelines independently and propose standards.
• Knowledge of Feature Engineering Feature Store and audit capabilities.
• Expertise in standard software engineering methodology e.g. unit testing test automation continuous integration code reviews design documentation
• Working experience with native ML orchestration systems such as Kubeflow Step Functions MLflow Airflow TFX.
• Relevant working experience with Docker and Kubernetes is a big plus