
- 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.
- 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.
- Bachelors or Masters degree in a quantitative field with 0-3 years of industry/research lab experience
- Required: Excellent problem solving skills, ability to deconstruct and formulate solutions from first-principles
- Required: Depth and hands-on experience in applying ML/DL, statistical techniques to business problems
- Preferred: Experience working with ‘big data’ and shipping ML/DL models to production
- Required: Strong proficiency in Python, SQL, Spark, Tensorflow
- Required: Strong spoken and written communication skills
- Big plus: Experience in the space of ecommerce and logistics
- Experience in Generative AI
- Proven track record of developing and shipping ML and DL data products
- Experience in Agentic AI , LLMS and NLP
- Proficiency in Python
How to Apply Click on the Below link, it will redirect you to source Page and apply there.
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