Key Objectives
* Develop and integrate AI / ML capabilities into ISO's existing IT solutions across the standards lifecycle, including elicitation, development, management, publishing, and distribution.
* Create an automated expert or advisor that leverages organizational knowledge (processes, directives, rules of procedure, resolutions, MOUs, etc.) to improve information retrieval through semantic-aware search and conversational agents.
* Enhance NLP-based text analysis technologies to better utilize content from published standards and those being drafted online.
* Support and advise ISO/CS Business Units on advanced Data Science initiatives involving trained models for predictive analysis, in coordination with the Data Scientist.
* In collaboration with the Data Engineer, implement processes and tooling to improve data quality by enforcing governance and policies.
* Form opinions and clearly communicate them.
Hands-on (Design and Implementation):
* Architect and build a central platform and APIs for 'intelligent services' to expose consolidated endpoints for ISO applications to use.
* Implement MLOPS best practices to manage models and technical systems debt.
* HIGHLIGHT emerging technologies that could offer solutions to new classes of problems.
* Advise on industry trends and lessons learned, assessing the value of previous hype in other organizations and its applicability to ISO.
Collaborations (Data Platform, Business Intelligence, Development):
* Business: Advocate designs and opinions to less-technical and non-technical users through written documents and oral presentations.
* Data Platform: Utilize Azure Databricks/MLFlow for data cleaning, model training, and serving.
* BI: Provide datasets or leverage the existing platform for data visualizations or analysis.
* Development: Liaise with IT engineering to define and use AI/ML capabilities in existing and future apps.
Qualifications 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 with a few years of corporate experience.
Skills:
* Excellent communication and interpersonal skills.
* Proficiency in English; French is also often used in the IT department.
* Adherence to ISO's core values of Respect, Integrity, Collaboration, Growth Mindset, and Pushing Boundaries.
About the Role:
This role reports directly to the Head of Data.