Overview
As a Machine Learning Engineer, you will become part of a mission-driven team focused on leveraging ethical AI to enhance patient care outcomes. Your primary responsibilities will include developing and productizing machine learning models and collaborating with engineering teams to integrate these models into production environments, all within a flexible hybrid working model.
Responsibilities
- Develop machine learning models for real-world applications.
- Collaborate with the engineering team to integrate models into production.
- Manage data workflows using SQL and Python in a cloud infrastructure.
- Ensure 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 experience in Software Engineering or Data Engineering focused on production applications.
- Experience in taking ML models from research to full productization.
- Familiarity with APIs such as GraphQL, gRPC, or REST is highly desirable.
- Previous experience in a start-up or HealthTech industry is a plus.