Generative AI ( Azure OpenAI, Lang chain, Embedding Models)
Experience with Azure
Data structure and algorithm
RDBMS and NoSQL databases, good skill with SQL
Function: Retail Domain
Responsibilities
Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of Customer
Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
Design, develop and maintain the framework for analytical pipeline
Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation
Provide input and help implement framework and tools to improve data quality
Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within Customer's org
Deliver on time, demonstrating strong commitment to deliver on the team mission and agreed backlog
Skills and Abilities
Ability to transform proof of concept machine learning models into scalable solutions
Ability to apply software development best practice into machine learning project, including unit test, DevOps integration, release management, test-driven development, etc
Ability to automate development process of machine learning project by leverage state of art tools and technology like container, continuous integration and delivery, orchestration tools etc
Familiar with at least one of major cloud solutions, preferably Azure. Able to recommend and select right services available in cloud to address technical problem
Good understanding and experience with software design principle and design pattern
Good understanding of Agile and scrum methodology, keep team focus on deliver business value