Overview
The Machine Learning Engineer will join a mission-driven team focused on developing and productizing ethical AI solutions to improve patient care outcomes within the HealthTech industry. This role involves collaborating with engineering teams to integrate models into production environments while managing data workflows and ensuring the scalability of AI-driven health solutions. The engineer will work in a fast-paced start-up culture and contribute to meaningful projects with significant real-world impact.
Responsibilities
- Develop and productize machine learning models for real-world applications.
- Collaborate with the engineering team to integrate models into production environments.
- Manage data workflows using SQL and Python within a cloud infrastructure.
- Ensure the scalability and reliability of AI-driven health solutions.
- Optimize back-end processes to support model deployment and performance.
Requirements
- Strong proficiency in Python, SQL, and AWS environments.
- Proven background in Software Engineering or Data Engineering focusing on production.
- Experience in taking ML models beyond research and prototyping into full productization.
- Familiarity with APIs such as GraphQL, gRPC, or REST is highly desirable.
- Previous experience within a start-up or the HealthTech sector is a plus.