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Machine Learning Engineer - Hybrid Remote

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Machine Learning Engineer - Hybrid Remote

They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions. Design, develop, and deploy machine learning models for healthcare applications including predictive analytics, anomaly detection, medical imaging, patient risk modelling, and intelligent automation Build scalable ML pipelines supporting model training, validation, monitoring, and real-time inference in clinical and healthcare environments Develop robust preprocessing and feature engineering workflows for healthcare, patient, and IoT/wearable device data Collaborate with software engineers, data teams, product specialists, and healthcare stakeholders to integrate ML solutions into production platforms Contribute to AI-powered perception and analytics systems using technologies such as medical imaging, sensor data, and real-time monitoring devices 2–6+ years of experience as a Machine Learning Engineer or related roles ~ Strong Python programming skills ~ Exposure to healthcare, medical data, wearable technology, or regulated environments is highly advantageous ~ Familiarity with data engineering concepts including ETL/ELT workflows, streaming pipelines, and sensor or patient data processing ~ Experience working with cloud platforms such as AWS, Azure, or GCP Clear progression opportunities into senior or lead-level positions

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