remote
Staff Machine Learning Engineer - accurx
ML Engineer
Lead the design and deployment of advanced ML models for a nationwide digital health platform, leveraging Python, AWS, and NLP to power patient triage, self‑booking, and automated care workflows.
About the role
Key Responsibilities
- Architect and implement end‑to‑end ML pipelines for patient triage, appointment scheduling, and automated questionnaire analysis.
- Collaborate with data scientists and software engineers to integrate models into a cloud‑native platform on AWS.
- Optimize model performance and latency for real‑time decision support in a high‑volume healthcare environment.
- Maintain model governance, monitoring, and continuous improvement processes.
- Mentor junior engineers and contribute to best‑practice documentation.
Requirements
- 5+ years of production ML experience in a large‑scale SaaS or healthcare setting.
- Strong proficiency in Python, PyTorch/TensorFlow, and AWS services (SageMaker, Lambda, ECS).
- Hands‑on experience with NLP techniques and deep learning for text and structured data.
- Solid understanding of data engineering, feature stores, and model monitoring.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawsnlpdeep learningpytorch