Roles & Responsibilities: -
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, vscode, jupyternotebooks.
• 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 object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. (Python preferred)
• 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...