Our Client's Foundational Large Model Department is expanding its core team to advance next-generation language and multimodal AI. As large model capability evolves from knowledge-based to task-based intelligence, the department is seeking high-calibre experts across two complementary tracks — model capability research and data engineering — to jointly push the frontier of what large models can do.
Build and operate the harder engineering layers of a solution when projects demand it: orchestrated pipelines, worker-based and event-driven architectures, stream processing, and scaling for data volume and concurrency.
Own solution quality: data validation, model evaluation, reproducibility, performance, and operational reliability (monitoring, alerting, failure recovery).
Lead and mentor a team of junior data scientists and analysts; review their work, unblock them technically, and grow their skills.
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