обновлено 6 дней назад
AI & Data Ethics Technical Lead
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI & Data Ethics Technical Lead: Enhancing ' technical abilities to mitigate AI risks with an accent on key Responsible AI techniques, including explainability, bias mitigation, PETs and guardrails for LLMs. Focus on bringing Data & AI trust and assurance expertise to customer projects and sharing best practices.
Company
is a company of problem solvers, innovators, and collaborators driven by a shared mission to create real impact.
What you will do
- Enhance ’ technical abilities to mitigate AI risks.
- Learn and build demos around key Responsible AI techniques.
- Bring Data & AI trust and assurance subject matter expertise to customer projects.
- Share best practices and directly influence and deliver the ethical dimensions of data and AI solutions.
- Explore new Responsible AI techniques and share your learnings.
Requirements
- A minimum of a 2.1 degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Statistics or in a similar highly quantitative field.
- Foundational knowledge of Responsible AI in a data & AI context.
- Demonstrable experience with dataset feature selection, data management and visualisation, AI/ml, pre-training techniques, explainable models, and post-hoc techniques as well as AI testing and validation experience.
- A proven ability to solve complex problems.
- Collaborative and growth mindset.
Nice to have
- An advanced degree in Computer Science, Machine Learning, Operational Research, Statistics or in a similar highly quantitative field.
- Experience with ML fairness approaches and toolkits.
- Experience with risk-based ethics and Responsible AI frameworks or developing Responsible AI policy or ethical data and AI processes and practices.
Culture & Benefits
- People-first culture where ideas are valued and growth is supported.
- Be part of a diverse, ambitious team that celebrates creativity and collaboration.
- Committed to building a team that is as diverse as the world we live in.
- Friendly talent acquisition team to support you.
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