Senior Data Scientist Job in Bengaluru at Myntra

Myntra is hiring for the role of Senior Data Scientist!

Responsibilities of the Candidate:

• 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.
• Maintained 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.

Requirements:

• 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 
• 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.