Description

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 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...

Key Skills

Education

Any Graduate