Senior Data Scientist · Bengaluru

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)