AI/MLOps Architect - R&D IT (Onsite)

Driscoll’s is building an AI-assisted R&D capability that depends on trusted data, governed delivery patterns, secure environments, and production-grade model operations. This role sits within an emerging R&D IT function embedded in Global R&D and partners closely with Global IS, scientists, product leads, and engineers to define how AI is safely and repeatedly deployed across breeding, genomics, lab, phenotyping, sensory, and agronomy workflows.

We are seeking an AI / MLOps Architect who can design and operationalize the backbone for governed AI at Driscoll’s. This role is responsible for the patterns, platforms, controls, and runtime operations that allow models and AI-enabled services to move from prototype to dependable production use. The ideal candidate combines strong architecture judgment with hands-on experience in MLOps, model serving, evaluation, observability, lineage, and secure deployment...

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