Senior AI Tooling Software Engineer - Data Platform, Autonomy
Job Description
About this kind of role
What a Senior AI Tooling Software Engineer - Data Platform, Autonomy usually does. The employer's own details are in the listing.
Typically does: This role focuses on developing and maintaining the infrastructure and tools that support artificial intelligence and machine learning initiatives. Responsibilities often include building data pipelines, automating model deployment, and creating monitoring systems to ensure the reliability and performance of AI models. They may also work on improving the efficiency of data processing and storage for machine learning applications. Collaboration with data scientists and machine learning engineers is a key aspect of this position.
Tools and skills: Proficiency in Python, cloud platforms like AWS or Google Cloud, data engineering tools (e.g., Spark, Kafka), and experience with DevOps practices are commonly required.
Good fit for: Individuals with a strong background in software engineering and a passion for enabling data-driven innovation typically excel in this role.
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