Software Engineer (AI Data Engineering)

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About this kind of role

What a Software Engineer (AI Data Engineering) usually does. The employer's own details are in the listing.

Typically does: Software Engineers specializing in AI Data Engineering build and maintain data pipelines to support machine learning models. They work with large datasets, transforming and preparing data for training and evaluation. This role often involves optimizing data storage and retrieval for efficient model performance. Responsibilities can include developing data quality checks and monitoring data infrastructure.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with data processing frameworks such as Spark or Hadoop are common.

Good fit for: Individuals with a strong analytical background and a passion for combining software engineering principles with data science are often successful in this role.