Lead the design, development, and implementation of cutting-edge analytic engines and services, leveraging extensive experience and expertise in machine learning to develop and deploy scalable models, optimize algorithms, and drive data-driven decision-making. […]
Design and build robust inference systems, such as APIs, batch processing, and real-time streaming, to facilitate the deployment and utilization of machine learning models. […]
Engage with the data science community, participating in discussions, code reviews, and contributions to foster collaboration and innovation. […]
Conduct in-depth...