Senior AI/ML Data Platform Engineer

About this kind of role

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

Typically does: Designs, builds, and maintains data platforms to support artificial intelligence and machine learning initiatives. This includes developing scalable infrastructure, optimizing data pipelines, and ensuring data quality and security. Responsibilities often involve collaborating with data scientists, machine learning engineers, and other stakeholders to meet their data needs. They also monitor platform performance and troubleshoot issues to ensure reliability.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), data warehousing technologies (such as Snowflake or Redshift), programming languages (Python, Java, or Scala), and experience with big data tools (Spark, Hadoop) is generally required.

Good fit for: Individuals with a strong background in data engineering and a passion for enabling advanced analytics and machine learning are typically successful in this role.