remote
Staff AI Engineer R37 - Phare Health
AI Engineer
Lead the design and deployment of advanced AI solutions in healthcare, leveraging Python, deep learning, and AWS to deliver scalable, compliant systems that improve patient outcomes and operational efficiency.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI pipelines for clinical data, ensuring compliance with healthcare regulations.
- Develop and optimize deep learning models in Python, using frameworks such as TensorFlow or PyTorch.
- Deploy models to AWS services (SageMaker, Lambda, ECS) and manage CI/CD workflows.
- Collaborate with data scientists, clinicians, and product teams to translate medical insights into production‑ready solutions.
- Monitor model performance in production, applying drift detection and retraining strategies.
Requirements
- 5+ years of experience in AI/ML engineering, preferably in healthcare.
- Strong proficiency in Python and deep learning frameworks.
- Hands‑on experience with AWS AI/ML services and cloud architecture.
- Knowledge of HIPAA, data privacy, and medical data standards.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningdeep learningaws