Data & Applied ML Engineer

Role overview Build dependable data foundations for analytics and AI features. The work spans data pipelines, ingestion for retrieval, model-ready datasets, and quality controls that help keep data trustworthy.

Responsibilities - Create and maintain pipelines that prepare data for downstream use. - Build ingestion processes that make information available for retrieval. - Shape datasets for use in machine learning models. - Establish quality checks to assess and preserve data trustworthiness. - Support the data needs of analytics and AI product features.

Requirements - Ability to build data pipelines and prepare datasets for applications. - Familiarity with retrieval-oriented data ingestion. - Understanding of data preparation for machine learning workflows. - Experience designing or applying data quality controls.