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ROLE PURPOSE:
- Enable robust, reliable, and responsible machine learning workflows at scale.
- Design and operate production-grade ML systems.
- Ensure strong experiment tracking and model lifecycle management.
RESPONSIBILITIES:
- Build reusable and scalable components supporting Machine Learning operations.
- Own and maintain Machine Learning systems and platform services.
- Collaborate cross-functionally with Clinical Researchers, Data Scientists, ML Engineers, and Data Engineers.
MINIMUM QUALIFICATIONS:
- Strong programming skills in Python with solid understanding of Machine Learning concepts.
- Experience building end-to-end production ML systems and platformization initiatives.
- Ability to operate within complex ecosystems spanning medical domain, regulatory requirements, hardware, firmware, and sensor data.
Neko Health
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights. The company has nearly 100 full-time engineers and supports a flexible workplace that prioritizes work-life balance.