Technical Advisor, Artificial Intelligence (AI) Engineer
Support the design, development, and implementation of AI solutions that strengthen Rwanda's health system.
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Overview
Support the design, development, and implementation of AI solutions that 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
| What experience do you have with AI model development and optimization in healthcare applications? | To assess your technical expertise and suitability for developing AI in health systems. | Share specific projects or roles where you've developed AI models for healthcare. |
| How do you ensure the integration of AI solutions with existing health systems? | This checks your understanding of system interoperability and standards. | Pro members can see the explanation. |
| Can you provide an example of how you’ve improved a model’s performance after deployment? | Pro members can see the explanation. | Pro members can see the explanation. |
| What steps do you take to ensure data quality and security in your AI projects? | Pro members can see the explanation. | Pro members can see the explanation. |
| Discuss a time you collaborated with cross-functional teams to achieve a project goal. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you keep current with advancements in AI and health technology? | Pro members can see the explanation. | Pro members can see the explanation. |
| What are your thoughts on ethical considerations in AI deployments in healthcare? | Pro members can see the explanation. | Pro members can see the explanation. |
| How would you approach developing explainable AI to ensure clinical trust? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 5 months ago
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Updated 1 month ago
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Source:
clintonhealthaccess.org
