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 chance encourage intellectual curiosity and empower our teams with the right tools space and opportunities About Team The Myntra Data Science team is at the forefront of innovation delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints Every quarter our models impact millions of customers leveraging real-time near-real-time and offline solutions with diverse latency requirements These models are built on massive datasets allowing for deep learning and growth opportunities within a rapidly expanding organization By joining our team you ll gain hands-on experience with an extensive e-commerce platform learning to develop models that handle millions of requests per second with sub-second latency We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques such as graph neural networks diffusion models transformers representation learning optimization methods and Bayesian modeling but also contribute to the research community with multiple peer-reviewed publications Roles and Responsibilities Design Develop and Deploy Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains including Recommender Systems Search Computer Vision Supply Chain Management SCM Pricing Forecasting Trend and Virality Prediction Generative AI and more Technical Expertise Demonstrate deep theoretical knowledge and practical expertise in one or more areas such as Natural Language Processing NLP Computer Vision Recommender Systems and Optimization Software Development Develop robust scalable and maintainable software solutions for seamless model deployment CI CD Pipelines Set up and manage Continuous Integration Continuous Deployment CI CD pipelines for automated testing deployment and model integration Model Maintenance Maintain and optimize machine learning pipelines including data cleaning feature extraction and model training Collaboration Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems Data Management Partner with the Data Platforms team to gather process and analyze data crucial for model development Code Quality Write clean efficient and maintainable code following best practices Performance Optimization Conduct performance testing troubleshooting and tuning to ensure optimal model performance Continuous Learning Stay up-to-date with the latest advancements in machine learning and technology sharing insights and knowledge across the organization Qualifications Experience Industry Experience 5 years with a Bachelor s degree or 3 years with a Master s Ph D in Computer Science Mathematics Statistics or a related field Machine Learning Expertise At least 2 years of hands-on experience as a Machine Learning Engineer or a similar role Production Deployment Proven experience deploying machine learning solutions into production environments Programming Skills Strong proficiency in Python or equivalent programming languages for model development ML Frameworks Familiarity with leading machine learning frameworks Keras TensorFlow PyTorch and libraries scikit-learn CI CD Tools Experience with CI CD tools and practices Communication Excellent verbal and written communication skills Teamwork Independence Ability to work collaboratively in a team environment or independently as needed Workload Management Strong organizational skills to manage and prioritize tasks supporting your manager effectively Exceptional candidates are encouraged to apply even if you don t meet every listed qualification We re open to hiring individuals who demonstrate outstanding potential Nice to Have Research Contributions Publications or presentations in recognized Machine Learning and Data Science journals conferences Big Data Technologies Experience with big data technologies like Spark or other distributed computing frameworks Cloud Services Proficiency in cloud platforms AWS Google Cloud and an understanding of distributed systems Generative AI Exposure Familiarity with Generative AI models Database Management Experience with SQL and or NoSQL databases ML Orchestration Knowledge of ML orchestration tools Airflow Kubeflow MLFlow

📌 Senior Data Scientist (Karnataka)
🏢 Myntra
📍 Karnataka