About PhoenixPhoenix is Myntra’s initiative designed to be a launchpad for women returning to their careers after a break. This six‑month program provides a supportive environment that helps ensure a smooth transition back to work. With structured onboarding, customized learning and development opportunities, mentorship, hands-on projects, and best‑in‑class benefits, we aim to create a space where you can confidently re‑discover and grow your career with us.Launched in 2021, Phoenix has thrived over the years, and with Myntra’s unwavering commitment to inclusivity, we proudly present Phoenix 5.0 as the 5th batch.During your time in Phoenix, you’ll collaborate with some of the best talent in the e‑commerce industry and work on projects aligned with your interests and abilities. This experience is designed to empower you, build your skills, and potentially open the door to full‑time opportunities at Myntra. Note • Should have minimum 6 months of career gap at presentAbout TeamMyntra 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 • Design, develop, deploy and maintain machine learning models, algorithms and systems to solve complex business problems for Myntra Recsys, Search, Vision, SCM, Pricing, Forecasting, Trend and Virality prediction, Gen AI and other areas • Theoretical understanding and practise of machine learning for atleast 1-2 years and expertise in one or more of the topics such as NLP, Computer Vision, recommender systems and Optimisation. • Implement robust and reliable software solutions for model deployment. • Support the team in maintaining machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training. • Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation. • Working with the Data Platforms teams for understanding and collecting the data. • Conduct performance testing, troubleshooting and tuning as required. • Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.Qualifications & Experience • Degree in B.Tech/Master’s in Computer Science, Mathematics, Statistics/related fields of Data Science. • Proficiency in Python or one other high-level programming language. • Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks, etc. • Strong written and verbal communication skills • Intellectual curiosity and enthusiastic about continuous learning • Experience developing machine learning models in Python, or equivalent programming language. • Basic familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. • Understanding of statistics as it applies to machine learning such as Hypothesis testing, A/B testing frameworks, etc. • Ability to manage and prioritize your workload and support her manager. • Experience with PySpark, SQL and/or NoSQL databases. • Experience with Gen AI coding tools like cursor, claude, github copilot or equivalents is a plus. Nice to Have: • Publications or presentations in recognized Machine Learning and Data Science journals/conferences. • Exposure to GenAI models.