onsite
Senior AI Product Engineer
Software Engineer
Lead the design and delivery of AI‑driven healthcare products, building scalable models and services on cloud infrastructure to improve patient outcomes and enable a fully digital care experience.
About the role
Key Responsibilities
- Architect, develop, and deploy machine‑learning models that power telehealth, diagnostics, and pharmacy workflows.
- Collaborate with product, clinical, and engineering teams to translate healthcare needs into AI solutions.
- Design and maintain robust, scalable APIs and data pipelines on AWS to serve real‑time predictions.
- Implement best practices for model monitoring, performance tuning, and continuous integration/continuous deployment (CI/CD).
- Mentor junior engineers and champion data‑driven decision making across the organization.
Requirements
- 5+ years of professional experience building production‑grade AI/ML systems, preferably in healthtech.
- Strong proficiency in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Hands‑on experience with cloud services (AWS EC2, S3, SageMaker, Lambda) and building RESTful APIs.
- Solid understanding of data engineering concepts, including ETL pipelines, feature stores, and data versioning.
- Excellent problem‑solving skills, ability to work cross‑functionally, and a passion for improving patient care through technology.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws