Key Deliverables :
- Plan, design, implement, and test Python APIs, algorithms, and examples for predictive modeling.
- Collaborate with data scientists, QA engineers, and UX designers to build efficient and flexible data pipelines.
- Create datasets to test, augment, and demonstrate new data science algorithms.
- Engage with internal users, clients, and pre-sales engineers to design solutions, proofs of value, and educational materials.
Role Responsibilities :
Develop reusable Python API packages for data science teams to consume.Use Rest and GRPC APIs to integrate with other systems.Apply software development methodologies including performance tuning, test-driven development, and debugging.Collaborate on ML Operations and Python ML package development.Skills Required
Machine Learning, Python, Api Development, Performance Tuning