Job Description
Responsibilities
JOB DESCRIPTION
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
About Us
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
