We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We’re bold in our thinking, agile in our execution, and collaborative in spirit.
Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.
We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.
From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.
Working at Myntra is challenging but fun – we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.
About Phoenix
Phoenix is Myntra’s initiative specifically designed to offer a launchpad to women on career break. It is a six month internship that ensures a conducive environment facilitating a smooth transition back to work. With structured on-boarding, customized learning and development programs, mentorship opportunities, on the job learning and best in class benefits, we aim to provide an environment that is supportive, so that you can re-discover your career with us.
During your internship with us, you will get the opportunity to work with the best talent in the e-commerce industry and work on projects that match your interest, abilities and could lead to full-time employment with Myntra.
As an Intern, you will be expected to demonstrate a willingness to learn, actively participate in the assigned tasks, and contribute to the overall goals of the team.
Note
About Team
Myntra Data Science team delivers a large number of data science solutions for the company which are deployed at various customer touch points every month. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. You will have the opportunity to be part of a rapidly growing organization with applied ML exposure in fashion e-commerce and comprehensive industrial experience across recommendation systems, computer vision, Supply Chain Optimisation and generative AI domains. This internship offers deep insights into building models that serve millions of requests per second, providing unparalleled learning and career development opportunities.
The team takes pride in deploying solutions that not only leverage state of the art machine learning models like graph neural networks, diffusion models, transformers, representation learning, optimization methods and bayesian modeling but also contribute to research literature with multiple peer-reviewed research papers.
Roles and Responsibilities
Qualifications & Experience
Nice To Have
Required Skills
python, Machine learning, recommender system, computer vision, Pyspark
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