Lead Engineer - Python, REST API, gRPC

Key Deliverables:

1. Plan, design, implement, and test Python APIs, algorithms, and examples for predictive modeling.
2. Collaborate with data scientists, QA engineers, and UX designers to build efficient and flexible data pipelines.
3. Create datasets to test, augment, and demonstrate new data science algorithms.
4. Engage with internal users, clients, and pre-sales engineers to design solutions, proofs of value, and educational materials.

Role Responsibilities:

1. Develop reusable Python API packages for data science teams to consume.
2. Use Rest and GRPC APIs to integrate with other systems.
3. Apply software development methodologies including performance tuning, test-driven development, and debugging.
4. Collaborate on ML Operations and Python ML package development.