Senior AI Platform Engineer (Automation & AIOps)

About this kind of role

What a Senior AI Platform Engineer (Automation & AIOps) usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains platforms that support artificial intelligence and machine learning initiatives. This includes developing automation tools and implementing AIOps (Artificial Intelligence for IT Operations) solutions to improve efficiency and reliability. Responsibilities often involve working with large datasets, optimizing AI model deployment, and ensuring scalability of AI infrastructure. They collaborate with data scientists, machine learning engineers, and IT operations teams to integrate AI into various systems.

Tools and skills: Proficiency in programming languages like Python, experience with cloud platforms (e.g., AWS, Azure, Google Cloud), knowledge of containerization technologies (e.g., Docker, Kubernetes), and familiarity with DevOps practices are generally required.

Good fit for: Individuals with a strong background in software engineering and a passion for leveraging automation and AI to solve complex operational challenges typically thrive in this role.