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Machine Learning Engineer - XO Technology
ML Engineer
Develop and deploy ML models for wearable health data, optimizing algorithms for real‑time senior care insights using Python, TensorFlow, and AWS services.
About the role
Key Responsibilities
- Design, train, and evaluate machine learning models on multimodal sensor data from wearable rings.
- Implement end‑to‑end ML pipelines using Python, TensorFlow/PyTorch, and cloud services (AWS SageMaker, Lambda).
- Collaborate with data engineers to preprocess and feature‑engineer time‑series biometrics and movement signals.
- Deploy models to production, monitor performance, and iterate for continuous improvement.
- Translate clinical requirements into algorithmic solutions that provide actionable insights for caregivers.
Requirements
- 3+ years of experience in applied machine learning, preferably in healthcare or IoT domains.
- Strong programming skills in Python and familiarity with TensorFlow or PyTorch.
- Experience with cloud ML services (AWS SageMaker, Lambda, S3) and CI/CD pipelines.
- Knowledge of signal processing and time‑series analysis.
- Excellent communication skills and ability to work cross‑functionally with product and engineering teams.
Skills
pythonmachine learningtensorflowaws