Responsibilities
▪ Demonstrate a deep knowledge of, and ability to operationalize, leading data & analytic technologies and best practice
▪ Partner end-to-end with Product Managers to understand customer requirements and design prototypes and bring ideas to production
▪ Strategize, design, build, harden, and maintain the core infrastructure used to operate our machine learning platform and lifecycle
▪ Be part of the senior team responsible for defining our technology strategy, roadmap and priorities for our organization
▪ Manage the automation of every aspect of our infrastructure to remove as much as possible any human intervention
Desirable Competencies
▪ 8+ year of work experience
▪ We develop real products. You need to be an expert in design, coding, and scripting
▪ Facilitate problem diagnosis and resolution in technical and functional areas.
▪ Encourage change, especially in support of data engineering best practices and developer satisfaction.
▪ Write high-quality code that is consistent with our standards, creating new standards as necessary.
▪ Demonstrate correctness with pragmatic automated tests.
▪ Review the work of other engineers in a collegial fashion to promote and improve quality and engineering practices
▪ Develop strong working relationships with others across levels and functions
▪ Participate in, and potentially coordinate, Communities-of Practice in those technologies in which you have an interest
▪ Participate in continuing education programs to grow your skills both technically and in the Williams-Sonoma business domain.
Required
▪ Experience in python
▪ Experience in Tensorflow or PyTorch.
▪ Experience in Azure.
▪ Working experience of all phases of machine learning lifecycle.
▪ Experience in exploratory data analysis
▪ Good understanding, knowledge and Experience in deep learning.
▪ Deployment understanding can work hand in hand with MLOps team.
▪ Understanding/working experience of Recommendation systems.
Good to have
▪ Experience in MLOps, CI/CD pipelines.
▪ Experience in Docker, Kubernetes
▪ Experience in using LLMs in RAG Framework
▪ Experience in E-commerce domain.
▪ Experience in Vector database and GenAI has context menu