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Global Health Innovator
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Imagine contributing to cutting-edge technology that enhances healthcare globally. As a Machine Learning Engineer, you'll play a vital role in designing, developing, and implementing innovative solutions to complex problems.
Key Responsibilities
- Design and develop machine learning models and algorithms to tackle intricate challenges
Required Skills
- Expert-level Python programming for production systems, demonstrating the ability to craft clean, typed, and testable code for distributed systems.
- Experience in building systems that communicate via message queues like Azure Service Bus.
- In-depth knowledge of LLM vulnerabilities (OWASP Top 10 for LLMs) and experience in implementing guardrails against prompt injections and data.
- Asynchronous & Concurrent Programming mastery using Python's asyncio to build scalable, I/O-bound services.
- Deep hands-on experience with FastAPI and Pydantic for building robust, schema-validated microservices.
- Cloud-Native Development expertise with Docker for applications and deploying orchestrated environments like Kubernetes (AKS).
- Experience with explainable AI (AXI) tools - such as LIME and SHAP.
Why Choose Us?
We offer a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Join us to contribute to advancing health equity on a global scale and grow together in a supportive environment.
