Data Platform & Cloud Engineer, AI- Enabled Developer

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About this kind of role

What a Data Platform & Cloud Engineer, AI- Enabled Developer usually does. The employer's own details are in the listing.

Typically does: This role focuses on building, maintaining, and optimizing data platforms and cloud infrastructure to support artificial intelligence and machine learning initiatives. Responsibilities include designing data pipelines, automating deployment processes, and ensuring data security and scalability. The engineer collaborates with data scientists and software developers to integrate AI models into applications and services. They also troubleshoot issues, monitor system performance, and implement improvements to enhance efficiency.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), data warehousing technologies, scripting languages (e.g., Python, Bash), containerization (e.g., Docker, Kubernetes), and experience with data pipeline orchestration tools is generally required.

Good fit for: Individuals with a strong analytical mindset, a passion for data and cloud technologies, and the ability to work collaboratively in a fast-paced environment typically thrive in this position.