Machine Learning Consultant

Job Description :

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 objectoriented/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.