Sr Software Engineer

2 days ago

Pune, Maharashtra, India Williams-Sonoma Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

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

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