Technical Advisor, Artificial Intelligence (AI) Engineer
Support the design, development, and implementation of AI solutions to strengthen Rwanda's health system.
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Overview
Support the design, development, and implementation of AI solutions to strengthen Rwanda's health system.
You have:
- Master’s degree (or higher) in AI, Computer Engineering, Data Science, Biomedical Engineering, Health Informatics or a closely related field.
- A minimum of 6 years’ experience in Applied Machine learning, AI system development and production-grade deployments.
- Strong experience in APIs, data pipelines, training workflows, deployment, maintenance and ML frameworks and systems integration.
- Hands-on experience across the full LLM stack, including model pretraining, fine-tuning, evaluation, and serving.
- Demonstrated ability to design and implement scalable model evaluation frameworks, including model-based assessment techniques.
- Advanced knowledge of reinforcement learning, including algorithm design, environment interaction, and performance evaluation.
- Strong engineering capabilities for rapid iteration on data pipelines, training workflows, deployment, and maintenance.
- Proven experience deploying and sustaining healthcare IT systems or medical AI agents in real-world environments.
Potential interview questions
| Can you describe your experience with deploying AI models in a healthcare setting? | This question assesses your relevant experience and ability to apply AI in a practical, health-related context. | Share specific examples of projects and outcomes. |
| What strategies have you used to ensure data quality and security when working with health data? | This question evaluates your understanding of data governance in health applications. | Pro members can see the explanation. |
| How do you approach model optimization and performance metrics in your AI projects? | Pro members can see the explanation. | Pro members can see the explanation. |
| Have you ever had to address bias in AI models? How did you go about it? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe a challenging AI project you worked on and how you overcame the obstacles you faced. | Pro members can see the explanation. | Pro members can see the explanation. |
| What experience do you have with integration of AI solutions into existing digital health systems? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you discuss a time when you had to collaborate with multidisciplinary teams to achieve a goal? | Pro members can see the explanation. | Pro members can see the explanation. |
| What emerging AI technologies do you believe will have the most impact on public health in the next few years? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 3 months ago
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Updated 24 days ago
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Source:
clintonhealthaccess.org
