Location: Redwood City, CA
Duration: 6 months
Manager is looking for a Data Engineer to join our team for two quarters to help develop and scale pipelines to enable efficient and accurate automation of ML models. We would like the option to renew (subject to funding) for further work.
In their role, the Data Engineer is expected to work with the data science team to improve on and build new robust and extensible data pipelines to support entity mapping and enrichment by leveraging client’s data sources. The candidate will also support robust integration of these pipelines into machine learning frameworks and automating the train-deploy-retrain cycle.
The Data Engineer will be responsible for working with the Data Science Team to productionize our machine learning models, improve the stability and efficiency of our data pipelines, and develop new data stores that can be used to enable machine learning solutions and analytics solutions. The qualified engineer will have a passion for clean, performant code, as well as socializing best practices with the team and own portions of team technical knowledge management.
Top 3 Daily Responsibilities:
- Develop and automate data pipelines that support machine learning models
- Build and automate processes which introspect on production models, creating tools to help the team manage deployment of current, and new models.
- Document and socialize technical best practices.