Senior AI Infrastructure & Platform Engineer

About this kind of role

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

Typically does: Designs, builds, and maintains the infrastructure and platforms that support artificial intelligence and machine learning models. This includes managing data pipelines, model deployment systems, and the underlying computing resources. Responsibilities often involve optimizing performance, ensuring scalability, and implementing robust monitoring and security measures. They collaborate with data scientists and machine learning engineers to facilitate the development and deployment of AI solutions.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), programming languages (Python, Java), and experience with big data technologies (Spark, Hadoop) is generally expected, alongside strong DevOps practices.

Good fit for: Individuals with a strong background in software engineering and a passion for enabling cutting-edge AI applications thrive in this role.