Senior Data Scientist (FullStack Machine Learning)
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 Full Stack 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.
- Experience with SQL and/or NoSQL databases.
- Experience with ML orchestration tools (Airflow, Kubeflow or MLFlow)
- 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.
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.