---
title: "Sanjit Jain - Machine Learning Engineer 3 - ML Platforms in Bengaluru | Tal"
description: "Meet Sanjit Jain, Machine Learning Engineer || ML Platforms || ML Infra based in Bengaluru. AI stack includes claude code, deepseek, and hugging face."
image: "https://tal.club/meet/sanjit-jain/share-image"
---

# Sanjit Jain on Tal

## Headline

Machine Learning Engineer \|\| ML Platforms \|\| ML Infra

## About

\- Data Scientist at Sharechat, India's leading in\-house social media platform and short video\-app\. \- Thorough knowledge and hands\-on experience in Machine Learning, Recommender Systems, Nearest Neighbours Search Algorithms, Deep Learning and Multimodal Learning\. \- BTech\. in Computer Science from LNM Institute of Technology\.

## Location

Bengaluru

## AI stack

claude code

deepseek

hugging face

kimi

ollama

vLLM

## Work experience

Machine Learning Engineer 3 \- ML Platforms at Glance, Apr 2025 \- Present · 1 yr 5 mos, Bengaluru, Karnataka, India

Lead Machine Learning Engineer at ShareChat, Sep 2023 \- Nov 2024 · 1 yr 3 mos, Bengaluru, Karnataka, India, Realtime Ranking and Personalization · Working on building real\-time ranking capabilities for user\-feed personalization on Moj and Ads\. · Responsible for cost\-reduction of 30% by moving to spot instances for training workflows\. · Reduce training GPU cost by implementing mixed float operations and loss scaling\.

Data Scientist\-2 at ShareChat, Oct 2021 \- Sep 2023 · 2 yrs, Bengaluru, Karnataka, India, Moj Feed AI, Recommender Systems, Notification Personalisation and Volume Optimisation · Building infrastructure for personalised notifications capable of handling scale of millions of users\. · Ran A/B experiments on personalised notifications as well as volume optimisation to achieve CTR gains and re\-activation of users\. · Achieved 80% savings in compute and SQL costs through various optimisations on infrastructure and storage\. · Worked on solving Post Cold start problem for Moj\. · Achieved a 0\.X% retention gain in D1 users\. · Increased the number of posts served to users by 4x, leading to improved diversity and post exploration\. · Built early stage candidate generators targeting early post discovery to maximise chances of success\. · Improved personalisation of posts in early stage to push for quick post embedding convergence\. · Bridging the supply\-demand gap in smaller Indian languages like Gujarati, Bhojpuri, Rajasthani, etc\. through specific candidate genarators catering to these business usecases\. · Running and analysing various A/B Experimentations of user and post variants to test different feed recommendation logic to optimise for metrics like user retention, video play time and engagement metrics\. · Responsible for multiple core feed microservices and training pipelines and enabling autoscaling as well as assuring complete uptime of our feed models\. Mentors \- Hastagiri Vanchinathan, Director\(Feed AI/Ranking\), Michal Porvaznik, Staff ML Engineer and Jan Ruziev, Staff ML Engineer\.

Data Scientist\-I at ShareChat, Apr 2021 \- Sep 2021 · 6 mos, Bengaluru, Karnataka, India, Recommender Systems, Feed AI, Duplicate Detection, Google Cloud TPUs · Worked in the modelling team of Moj Feed AI\. · Worked on online recommender system leading to significant gains in business metrics like retention, video playtime, feed quality etc\. · Built scalable, robust core and cost efficient modelling pipelines for our Feed AI Ranking component\. · Worked on model inference, serving, load testing and deployment/monitoring for our core feed models\. · Worked on Large scale nearest neighbour search engines for Feed Ranking and Content Understanding\. · Extensively involved in developing and running multiple A/B Test Experiments on User and Post Level business metrics like retention, playtime, engagements etc\. · Responsible for various end\-to\-end machine learning pipelines for Sharechat and Moj\. Mentors \- Hastagiri Vanchinathan, Director\(Feed AI/Ranking\) and Peddakota Vikash, Lead Data Scientist

Deep Learning Intern at Sparrosense, May 2019 \- Jul 2019 · 3 mos, Gurgaon, Haryana, India, Decoupling Localization and Classification in Single Shot Temporal Action Detection \- Working on developing a robust model performs action localization and classification using a single end\-to\-end trainable procedure\. Mentors \- Ankit Agarwal, CEO and Ravikant Bhargav, Research Head

Artificial Intelligence and Data Science Intern at Algorithm Labs, May 2018 \- Jul 2018 · 3 mos, Work from Home, \- Creating a chatbot using Google DialogFlow API to bridge the gap between buyers and sellers in the shipping industry\. \- Developing a model that Dynamically prices Hotels for Maximum Revenue\. \- Worked on developing the idea of Supply Chain Management\. Mentors \- Gaurav Sharma, CEO

Research Intern at Defence Research and Development Organisation \(DRDO\), May 2018 \- Jul 2018 · 3 mos, Bangalore, Worked on a project on Rapid 3D Reconstruction of UAV video stream for Centre for Artificial Intelligence and Robotics\(CAIR\), a lab of DRDO\. Mentor \- Dr\. Malay Nema, Scientist at DRDO

## Education

Bachelor of Technology \- BTech, Computer Science, The LNM Institute of Information Technology

12th standard, modern vidya niketan

[View the original profile](https://tal.club/meet/sanjit-jain)

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