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,...