Platform Development:
Design and implement APIs: Develop secure, well-documented APIs that allow
data scientists and
data analysts to create and manage notebooks, Auto ML workflows and data monitors.
Develop and monitor micro services: Develop model serving micro services and help monitoring service health and troubleshooting when needed.
Develop scalable back-end systems: Build reliable, fault-tolerant back-end services capable of handling high user volumes while maintaining performance
Co-develop Feature Flag and A/B Testing platform.
Collaboration & Teamwork:
Work with cross-functional teams: Data scientists, ML Engineer, Data Engineer.
Participate in code reviews: Regularly review and provide feedback on team members' code to maintain code quality and improve team knowledge.
Excellent Execution:
Deliver features efficiently: Collaborate with team members to ensure rapid development and timely delivery of features, focusing on quality.