TL;DR

AI & Data Ethics Technical Lead: Enhancing %hirify_global%' 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

%hirify_global% is a company of problem solvers, innovators, and collaborators driven by a shared mission to create real impact.

What you will do

Enhance %hirify_global%’ 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.