AI/ML Data Engineer, (Consultant, Data & Analytics)

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About this kind of role

What a AI/ML Data Engineer, (Consultant, Data & Analytics) usually does. The employer's own details are in the listing.

Typically does: A Data Engineer specializing in Artificial Intelligence and Machine Learning builds and maintains data pipelines to support AI/ML model development and deployment. This involves designing, constructing, installing, and maintaining data warehouse systems, as well as integrating data from various sources. They ensure data quality, reliability, and accessibility for data scientists and machine learning engineers. Responsibilities often include automating data processes and optimizing data infrastructure for performance.

Tools and skills: Proficiency in programming languages like Python and SQL, experience with cloud platforms (e.g., AWS, Azure, GCP), and familiarity with data warehousing tools, ETL processes, and machine learning frameworks are generally required.

Good fit for: Individuals with a strong analytical mindset, a passion for data, and a desire to contribute to innovative AI/ML solutions typically thrive in this role.