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Senior Software Engineer
2 months ago
Job title:
Senior Software Engineer - Search
About the role:
Myntra is at the forefront of innovation, building cutting-edge solutions to transform how users interact with search technologies.
Our search team is dedicated to enhancing query understanding, improving ranking algorithms, and developing state-of-the-art autocomplete functionalities to deliver the best search experience to our users.
We are looking for a talented and passionate Software Engineer to join our search team.This is a full-stack machine learning role where you will be working on complex problems related to query understanding, ranking, and autocomplete.
As a member of our team, you will collaborate with data scientists, product managers, and other engineers to design, develop, and deploy scalable solutions that improve our search capabilities.
Responsibilities:
Design, develop and deploy algorithms and machine learning models to solve complex business problems for Myntra Search in sub areas like query understanding, ranking, and autosuggest.
Set up and maintain CI/CD pipelines for automated testing and deployment.
Maintain machine learning pipelines, contributing to tasks like data cleaning, feature extraction, basic model training, data pipelines, and productionization.
Collaborate with Platforms to ensure the ML models built are deployed and integrated into the systems.
Work 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.
Qualifications:
Required
Qualifications:
3 years of industry experience in one or more of computer science, software engineering, or machine learning.
Bachelors degree in Computer Science, Computer Engineering, Data Science, Statistics, Artificial Intelligence (or related area) or equivalent industry work experience.
Experience with developing complex software systems and data pipelines.Hands-on experience in at least one of the areas - Natural language processing, Information retrieval, Deep learning.
Familiarity with basic machine learning techniques: regression, classification, clustering, model metrics, and performance (AUC, ROC, precision, recall and their various flavors).
Basic knowledge of advanced machine learning techniques: regression, clustering, recommender systems, ranking systems, and neural networks.Solid understanding of professional software engineering practices and best practices for the full software development life cycle.
Demonstrated ability to take a project from scoping requirements through to launch.
Strong problem-solving skills and a proactive approach to tackling challenges.
Locations:
Bengaluru