Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teen, West Elm, Williams-Sonoma Home, Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.

  Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the global market

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