Overview
To spearhead the hands-on implementation and advancement of Artificial Intelligence (AI) and Machine Learning (ML) initiatives and solutions, develop internal and external facing applications using cutting-edge software engineering practices, and support and advise technical divisions on navigating complex technical challenges.
Key Responsibilities
- Lead the definition and implementation of AI/ML initiatives in WHO/Europe, setting project priorities and defining work plans.
- Set technical direction and drive implementation for data integration initiatives, supporting the automation of AI-related activities.
- Design and implement AI prototypes and pilots, iterating towards scalable solutions.
- Oversee the full development cycle of AI projects from data acquisition, modeling, and testing to deployment and monitoring.
- Guide the development of internal and external applications using modern frameworks and technologies.
- Develop and manage cloud-based solutions to support AI/ML workloads.
- Lead and mentor a team of AI and software professionals.
- Collaborate with other teams and divisions to integrate AI solutions into various operational areas.
- Manage large datasets for training and testing AI models.
- Establish quality assurance protocols for AI systems.
- Communicate effectively with technical and non-technical stakeholders.
- Manage the team's resources, including budgets for projects and tools.
- Identify and mitigate risks associated with AI projects.
Required Experience
At least seven years of relevant, progressive experience, including responsibilities in the following fields: (a) software engineering and architecture, more specifically developing Cloud-native applications facing external and internal users; (b) deploying AI models into the Cloud and integrating generative AI solutions; (c) developing automated, analytical pipelines and the continued institutionalization of AI/ML; (d) implementing and managing a large portfolio of complex applications and services with front-end stack (HTML5, CSS / SASS, JavaScript) and databases (SQL, noSQL).
Qualifications
Advanced university degree in software engineering, computer science or other relevant discipline.
