обновлено 12 часов назад
Head of AI Quality, Assurance and Evaluation (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of AI Quality, Assurance and Evaluation (AI): Building and operationalizing risk-based governance, evaluation, compliance, and observability capabilities for trustworthy enterprise AI deployment with an accent on ML/LLM evaluation infrastructure, audit readiness, and regulated computerized systems. Focus on designing evaluation suites, regression gates, production monitoring, and risk-tiered human-in-the-loop controls across the AI lifecycle.
Location: Barcelona, Spain
Company
provides life science, diagnostic, and applied laboratory instruments, services, consumables, applications, and measurement and asset management expertise.
What you will do
- Own the trustworthy deployment of AI across the enterprise.
- Design and implement risk-based AI governance frameworks, evaluation methodologies, and compliance controls.
- Assess AI risk, bias, transparency, privacy, and regulatory compliance across the AI lifecycle.
- Build audit-ready evaluation frameworks, benchmark sets, regression gates, monitoring, and observability standards for AI models, agents, and applications.
- Translate legal, quality, security, privacy, and regulatory requirements into measurable and testable technical controls.
- Collaborate with engineering, data science, product, legal, quality, and compliance stakeholders while developing policies, standards, documentation, and training.
Requirements
- Production experience building or operating ML/LLM evaluation infrastructure.
- Working knowledge of regulated computerized systems; GxP, Part 11, or equivalent validation experience is strongly preferred.
- Ability to influence engineers, compliance officers, legal, quality, and security stakeholders through clear communication.
- Bachelor’s or Master’s degree or equivalent; postgraduate certification or licensing may be required.
- Typically 10+ years of relevant experience at this level.
Culture & Benefits
- Full-time weekly schedule with a day shift and no fixed end date.
- 10% travel required.
- Emphasis on continuous learning, experimentation, clear communication, and evidence-based improvement.
- Pay and benefits are determined by country, work location, role level, skills, experience, and education.
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