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About this role
Job Description
What will you get to do here
- 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 Swiggys 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 Swiggys problem statements.
- You will publish and talk about your work in internal and external forums to both technical and layman audiences.
- Opportunity to work on challenging and impactful projects in the logistics domain
- Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems
- Develop and deploy machine learning and deep learning models
- Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.
What qualities are we looking for
- Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics
- 3 to 5 years of industry/research lab experience
- Technically hands-on with deep dive expertise in applying ML to big data
- History of having shipped ML data products
- Results-oriented team player with a strong sense of ownership
- Experience working with software developers, product managers and overall SDLC
- Experience in Deep Learning and previous experience in startups and/or product-based consumer/internet
- companies is preferred Qualifications
- 3 to 5 years of industry/research lab experience
- Masters degree in areas related to Applied Mathematics, Machine Learning, Statistics
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
SDLCCampaignPMSoptimization techniquesmathematicsdata scientiststatisticsApplied MathematicsLogisticsResearchAlgorithmsDeep LearningBig DataBiddingMachine Learning
About Swiggy
Swiggy
Internet
4.5k+
employees
2014
12 years old
Bangalore,Karnataka
India
About
Restaurant aggregator and food delivery platform
Industries
InternetLogistics
Employee ratings
5,592 reviews
3.7/ 5
Culture
3.5
Career growth
3.2
Work-life
3.5
Employees rate it well for
Work Culture444Salary426Work Life Balance395Senior Management380Job Security311
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