About The Company
Who are we
Myntra is India's leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we've always believed in disrupting the ordinary.
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 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 quarter. The models create significant revenue and customer experience impact. The models involve real-time, near-real-time and offline solutions with varying latency requirements. The models are built using massive datasets. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform. You'll also get to learn the intricacies of building models that serve millions of requests per second at sub second latency.
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 and deploy machine learning models and algorithms 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 practice of machine learning 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.
- Set up and maintain CI/CD pipelines for automated testing and deployment.
- Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction and basic model training.
- Collaborate with Platforms and Engineering to make sure the ML models built are deployed and integrated into the systems.
- Working with the Data Platforms teams for understanding and collecting the data.
- Write clean, maintainable and efficient code.
- 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
- 3-5+ years of industry experience with a Bachelor's degree or 2+ years of industry experience Master's/PhD in Computer Science, Mathematics, Statistics or related field.
- 2 years of proven experience as a Machine Learning Engineer or similar role.
- Solid hands-on expertise in deploying machine learning solutions into production
- Experience developing machine learning models in Python, or equivalent programming language.
- Familiarity with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
- Experience with CI/CD tools.
- Excellent communication skills.
- Ability to work in a team or individually as and when required.
- Ability to manage and prioritize your workload and support his/her manager.
- If you are an exceptional candidate, write in. We are happy to hire you even if you don't have the certified qualifications.
Nice To Have
- Publications or presentations in recognized Machine Learning and Data Science journals/conferences.
- Experience with big data technologies like Spark or similar distributed computing frameworks.
- Experience with cloud services (like AWS or Google Cloud) and understanding of distributed systems.
- Exposure to GenAI models.
- Experience with SQL and/or NoSQL databases.
- Experience with ML orchestration tools (Airflow, Kubeflow or MLFlow)
Required Skills
computer vision, time series, Recommender systems, Machine learning
