Senior AI Product Engineer

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.