For large-model training and evaluation scenarios, participate in formulating and continuously iterating data quality standards, judgment rules, and acceptance criteria.
Contribute to the development and maintenance of the software components and automation tools in Java and Python to support observability platform capabilities and integrations.
Incident & Support Management: Oversee the BaaS helpdesk and the end-to-end incident management lifecycle, including defining escalation paths, triaging critical system tickets, and leading post-mortem reviews for major outages.
You will be responsible for managing the end-to-end software development and support for Compliance Technology domain related applications. This includes overseeing complex technology projects, guiding the teams, and ensuring the delivery of high quality, scalable solutions and production support.
Rating and Testing: Rate and evaluate highly complex prompt response pairs that require in depth research advanced multimodal understanding and strong linguistic and cultural knowledge.
Incident & Support Management: Oversee the BaaS helpdesk and the end-to-end incident management lifecycle, including defining escalation paths, triaging critical system tickets, and leading post-mortem reviews for major outages.
Build data connectors: Design and ship robust connectors that ingest content from enterprise sources — cloud storage, CRMs, ticketing systems, document stores, databases, and web/APIs.
Operational Excellence: Lead 24/7 incident response, resolution, and proactive health monitoring for large-scale NVIDIA AI clusters, including GB200/Blackwell infrastructure.
Design, build, and maintain ML infrastructure and tooling to support the full ML lifecycle (data preparation, training, evaluation, deployment, monitoring, and retraining).