AI/ML Platform Engineer

Responsibilities

Champion the reuse of Data, MLOps/AIOps, and DevOps platform products, services, and patterns to accelerate solution delivery for business partners and LOB domain teams. Design, build, and optimize deployment tools and automation systems for business data and AI/ML applications. Establish and implement best practices and standards for data and machine learning pipelines across the organization. Collaborate with engineers and AI/ML researchers to automate code analysis, build, integration and deployment of applications. Support projects with infrastructure design decisions and monitoring solutions. Deliver reusable platform products that enable rapid onboarding and consistent delivery for business teams. Apply adaptive productization processes to ensure solutions are robust, scalable, and meet evolving business needs. Practice “fail fast” principles to quickly identify and address issues, enabling rapid iteration and continuous improvement. Use systems thinking...