4-8 years of demonstrated experience of building and deploying ML pipelines

• Take standalone models built by data scientists and enhance them to build large scale

machine learning pipelines that are deployed on the cloud (AWS)

• Design and build robust and optimized ML pipelines by applying software engineering rigor

and best practices to machine learning, including CI/CD, automation, etc

• Coordinate with diverse stakeholders such as statisticians, software engineers,

infrastructure teams to better understand requirements and constraints to design the most

optimal ML pipelines

• Continuous learning to stay up to date with new technologies to improve performance,

maintainability, and reliability of ML systems