Swiggy is hiring for Software Engineer

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Bachelors or Masters degree in a quantitative field with 0-2 years of industry/research lab experience
Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
Depth and hands-on experience in applying ML/DL, statistical techniques to business problemsPreferred: Experience working with ‘big data’ and shipping ML/DL models to production
Strong proficiency in Python, SQL, Spark, TensorflowRequired: Strong spoken and written communication skillsBig plus: Experience in the space of ecommerce and logistics

You will leverage your strong ML/DL/Statistics background to build new and next generation of ML based solutions to improve the quality of ads recommendation and leverage various optimization techniques to improve the campaign performance.
You will mine and extract relevant information from Swiggy's massive historical data to help ideate and identify solutions to business and CX problems.
You will work closely with engineers/PMs/analysts on detailed requirements, technical designs, and implementation of end-to-end inference solutions at Swiggy scale.
You will stay abreast with the latest in ML research for Ads Bidding algorithms, Recommendation Systems related areas and help adapt it to Swiggy's problem statements.
You will publish and talk about your work in internal and external forums to both technical and layman audiences.