AI Data Engineer
Veeva Systems(1 month ago)
About this role
This role focuses on ensuring the reliability, accuracy, and safety of Veeva AI Agents by designing and executing rigorous evaluation and validation methodologies. The position centers on creating and maintaining robust evaluation strategies and datasets that mirror real-world usage and potential failure modes. It involves close collaboration with engineering and product teams to assess AI performance and communicate findings. The role operates within a mission-driven organization serving the life sciences industry in a flexible, work-anywhere environment.
Required Skills
- Evaluation Strategy
- Test Planning
- LLM Evaluation
- Data Curation
- Dataset Design
- Bias Detection
- Safety Assessment
- Prompt Engineering
- Automation Development
- Evaluation Pipelines
+10 more
Qualifications
- Bachelor's degree in Data Science
- Bachelor's degree in Machine Learning
- Bachelor's degree in Computer Science
About Veeva Systems
veeva.comNew Relic is a cloud-based observability platform that helps engineering teams collect, store, and analyze telemetry — metrics, traces, logs, and events — from applications, infrastructure, and end‑user experience. It offers APM, distributed tracing, infrastructure monitoring, log management, real‑user and synthetic monitoring, dashboards, alerts, and many integrations to troubleshoot performance and reliability issues. The platform emphasizes a unified telemetry model and powerful query/visualization tools, plus AI/ML‑driven insights to speed root‑cause analysis and incident response. Delivered as SaaS with lightweight agents and APIs, New Relic is used by developers, SREs, and ops teams for full‑stack visibility.
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