Senior AI/ML Data Engineer

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About this kind of role

What a Senior AI/ML Data Engineer usually does. The employer's own details are in the listing.

Typically does: A Senior AI/ML Data Engineer designs, builds, and maintains data pipelines and infrastructure to support machine learning models. This role involves working with large datasets, ensuring data quality, and optimizing data processing for performance and scalability. They collaborate with data scientists and machine learning engineers to deploy and monitor models in production environments. Responsibilities often include automating data workflows and implementing data governance policies.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with big data technologies such as Spark, Hadoop, and data warehousing solutions are typically required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and a desire to build robust and scalable machine learning infrastructure thrive in this role.