Senior Data Engineer – ML Infrastructure

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About this kind of role

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

Typically does: A Senior Data Engineer specializing in Machine Learning Infrastructure builds and maintains the systems that support machine learning models, from data ingestion to model deployment. This involves designing scalable data pipelines, optimizing data storage solutions, and ensuring the reliability of machine learning workflows. They collaborate closely with data scientists and machine learning engineers to address infrastructure needs and improve model performance. Responsibilities often include automating processes and monitoring system health.

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

Good fit for: Individuals with a strong background in data engineering and a passion for enabling machine learning initiatives typically excel in this role.