JOB PURPOSE
The Senior Machine
Learning Engineer is responsible for designing, developing, and deploying
advanced ML models across NEXA wearable medical and wellness platforms. This
includes working with physiological biosignals (EEG, EOG, ECG, motion, ..etc.),
creating real-time inference systems for edge hardware, and building robust
cloud/IoT ML pipelines. The engineer will lead the full ML lifecycle — data
acquisition, preprocessing, feature engineering, modeling, validation,
optimization, deployment, monitoring — while ensuring models meet medical-grade
reliability, safety standards, and real-world usability. This role also
involves mentoring junior engineers, setting ML standards, and collaborating
closely with hardware, embedded, software, and compliance teams.
Deadline
1 February 2026