Williams-Sonoma, Inc.

Sr Software Engineer (Machine Learning)

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Sr Software Engineer (Machine Learning) with 8+ years of experience, expertise in Python, TensorFlow/PyTorch, Azure, and all phases of the ML lifecycle. Must have experience in exploratory data analysis, deep learning, and deployment understanding for MLOps.

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 Responsibilities JOB DESCRIPTION ▪ Demonstrate a deep knowledge of, and ability to operationalize, leading data &amp; 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
 
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