Sr. AI Data Engineer/Architect

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About this kind of role

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

Typically does: Designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence and machine learning initiatives. This role involves working with large datasets, ensuring data quality, and optimizing data processing for model training and deployment. Responsibilities often include collaborating with data scientists and machine learning engineers to understand data needs and translate them into scalable solutions. Data architects in this role may also be involved in defining data governance policies and standards.

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 a strong background in data engineering and a passion for enabling AI and machine learning applications thrive in this role.