remote
Senior AI Engineer - Atria Health and Research Institute
AI Engineer
Lead the design and deployment of AI solutions that transform clinical data into actionable insights, leveraging Python, machine learning, and AWS to enhance preventive and precision healthcare.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines for clinical data analysis and predictive modeling.
- Collaborate with data scientists, clinicians, and software engineers to translate research into production‑ready AI services.
- Deploy scalable AI models on AWS using SageMaker, Lambda, and ECS, ensuring high availability and compliance with healthcare regulations.
- Optimize model performance through feature engineering, hyperparameter tuning, and continuous monitoring.
- Document model logic, data lineage, and performance metrics for auditability and reproducibility.
Requirements
- 5+ years of experience building production AI systems in a healthcare or data‑intensive environment.
- Proficiency in Python, SQL, and deep learning frameworks (TensorFlow, PyTorch).
- Hands‑on experience with AWS services (SageMaker, Lambda, S3, RDS).
- Strong understanding of data engineering principles and experience with ETL pipelines.
- Excellent communication skills and ability to work cross‑functionally with clinical stakeholders.
Skills
pythonmachine learningawsdeep learning