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ROLE PURPOSE:
- Enable robust, reliable, and responsible machine learning workflows at scale.
- Design and operate production-grade ML systems using high-volume data.
- Ensure strong experiment tracking and scalable deployment across multiple healthcare domains.
RESPONSIBILITIES:
- Build reusable and scalable components supporting Machine Learning operations.
- Own and maintain Machine Learning systems and platform services.
- Collaborate with Clinical Researchers, Data Scientists, ML Engineers, and Data Engineers.
MINIMUM QUALIFICATIONS:
- Possess strong programming skills in Python with solid understanding of Machine Learning.
- Have experience building end-to-end production ML systems.
- Demonstrate knowledge of PyTorch, Kubernetes, and Terraform.
Neko Health
Neko Health aims to shift healthcare from treating illness to preventing it, using advanced, non-invasive technology and clinical expertise. They have nearly 100 full-time engineers working across multiple European locations and prioritize work-life balance.