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Recommendation Algorithm Engineer / ML Backend Engineer
Recommendation Algorithm Engineer / ML Backend Engineer
Shuling technology's logo

Recommendation Algorithm Engineer / ML Backend Engineer

Zhiyu Ren's profile picture
Posted by Zhiyu Ren
3 - 8 yrs
₹30L - ₹40L / yr
Remote only
Skills
skill iconPython

Design and implement an event-level media recommendation engine.

Build candidate recall based on event, venue, time phase, GPS range, media status, and audience type.

Implement visual similarity recall using image embeddings such as SigLIP.

Work with vector search engines such as Qdrant.

Design ranking scores based on freshness, geo distance, event phase, image quality, popularity, and user behavior.

Build recommendation logs for impression, click, dwell time, like, save, share, download, and group join.

Help design attribution analysis and feedback loops for continuous recommendation improvement.

Integrate the recommendation service with our Node.js backend and Flutter app.

Build APIs for feed ranking, similar media search, media upsert, and interaction tracking.

Help us move from rule-based ranking to data-driven ranking as usage grows.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Shuling technology

Founded :
2025
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

About

The wearable badge that brings your art to life — live, at every event. The 1.85" full-color screen that turns concerts, games, and cons into a canvas for your hype. Explore products Buy it Now HypeMuse is designed to turn what you wear into part of the show. Powered by a 1.85" full-color display, real-time
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

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