AI/ML Solutions Designer

We are ISO, the largest developer of International Standards. We bring together experts, to share knowledge and develop standards that provide solutions to global challenges. This is because we believe that great things happen when the world agrees. We have an exciting opportunity at our Central Secretariat in Geneva.

ISO is committed to be an equal opportunity employer and to creating a culture and environment where each employee is an active contributor to our collective success. All qualified applicants will receive consideration for employment without regard to ethnicity, religion, gender, gender identity or expression, sexual orientation, national origin and culture, disability, or age.

AI/ML Solutions Designer

Role

• Provide AI / ML based «intelligent services » capabilities for ISO to embed into our existing IT solutions used throughout the lifecycle of standards: elicitation, development, management, publishing, and distribution

• Create an automatic expert or advisor that exploits our organisational knowledge (processes, directives, rules of procedure, resolutions, MOUs, etc.). Improve relevance of information retrieval via semantic-aware search and/or conversational agents
• Evolve our NLP-based text analysis technologies to better exploit the content from existing published standards or those being drafted online
• Support and advise ISO/CS Business Units around advanced Data Science (coordinated with the Data Scientist) involving trained models for predictive analysis, etc.
• In collaboration with the Data Engineer, improve data quality by implementing processes and tooling that better enforce the governance and policies that we are currently setting up
• Form opinions (design etc.) and clearly communicate / advocate for them

Key responsibilities

Hands-on (design and implementation):

• Architect and build a central platform & APIs for “intelligent services” to expose consolidated endpoints for ISO applications to use
• Leverage our hybrid architecture for cloud hosted competencies vs on-premises performant delivery
• Implement MLOPS best practices to manage models and technical/systems debt

Foresight (research):

• Highlighting emerging technologies that could offer solutions to new classes of problems
• Advising on industry trends and lessons learned. What parts of the hype from 12 months ago have delivered value in other organisations and how applicable is this to ISO?

Collaborations (Data platform, Business Intelligence, Development):

• Business: Advocate designs and opinions to less-technical and non-technical users in both written documents and oral presentations
• Data platform: Use Azure Databricks/MLFlow for data cleaning, model training & serving
• BI: provider of datasets or leveraging the existing platform for data visualizations or analysis
• Development: liaise with IT engineering to define and use AI / ML capabilities in our existing and future apps

Report to: Head of Data

Qualification and Experience

• University degree in Information Technology or Data Science
• Candidates must have worked on several IT implementation projects in the field of AI/ML. Ideally a few years of corporate environment

Skills

• Excellent communication and interpersonal skills
• Proficiency in English; French is also often used in the IT department
• Adheres to ISO’s core values of Respect, Integrity, Collaboration, Growth Mindset, and Pushing Boundaries