---
title: "Saurabh Dorle - Deputy Manager (Data Science) in Pune Division | Tal"
description: "Meet Saurabh Dorle, AI / ML Architect | LLMs · RAG · Agentic AI · MLOps | MLOps Book Author | Open to Remote — EU & US based in Pune Division."
image: "https://tal.club/meet/saurabh-dorle/share-image"
---

# Saurabh Dorle on Tal

## Headline

AI / ML Architect \| LLMs · RAG · Agentic AI · MLOps \| MLOps Book Author \| Open to Remote — EU &amp; US

## About

Most AI projects fail not because the models are wrong \- but because the systems around them weren't built to last\. That's the problem I solve\. AI/ML Architect with 7\+ years designing production\-grade systems across LLMs, RAG pipelines, Agentic AI, and MLOps \- deployed on AWS and GCP at real\-world scale\. Author of "Ultimate MLOps for Machine Learning Models" · Published IEEE Researcher What I bring: • LLM systems in production — RAG, NL\-to\-SQL, Agentic workflows, LLMOps • End\-to\-end ML architecture — pipelines, model registries, CI/CD, drift monitoring • Business impact — AI systems delivering multi\-million dollar efficiency gains • Cross\-functional — translating business problems into architecture decisions\. Open to AI Architect roles across Pune \(hybrid\), remote Indian product companies, and remote opportunities with EU &amp; US companies — wherever AI is core to the product, not a side project\. 📩 Let's connect: sdd\[dot\]saurabhd\[at\]gmail\[dot\]com

## Location

Pune Division

## Work experience

Deputy Manager \(Data Science\) at Vodafone, Apr 2024 \- Present · 2 yrs 2 mos, Pune, Maharashtra, India · Hybrid, \- Developing GenAI solutions to reduce support costs\. \- Leading development of ML solutions to help optimize roaming business\.

Assistant Manager \(Machine Learning\) at Vodafone, Mar 2022 \- Mar 2024 · 2 yrs 1 mo, Pune, Maharashtra, India · Hybrid, \- End\-to\-End development of data intensive solutions to optimise cost of telecom roaming\. \- Optimisation of ML models for multiple use cases\. \- Automating MLOps pipelines\. \- Development of use cases involving time series forecasting, clustering and classification\.

Author at AVA™ \- An Orange Education Label, Dec 2023 \- Oct 2024 · 11 mos, Author for book "Ultimate MLOps for Machine Learning models"

Senior Data Scientist at NextBee, Dec 2019 \- Feb 2022 · 2 yrs 3 mos, Pune, Maharashtra, India, \- Developed end\-to\-end intelligent data solutions for multiple use cases including customer segmentation, churn prediction, and forecasting\. \- Implemented best MLOps practices to automate data and model scaling, ensuring efficient and scalable operations\. \- Provided actionable insights to stakeholders, enabling them to make data\-driven decisions and take suggested actions\. \- Achieved a significant 34% increase in user engagement and improved user retention by leveraging insights derived from data analysis\. \- Created compelling visualizations to effectively communicate insights and facilitate decision\-making processes\.

Technical Reviewer at Packt, May 2019 \- Dec 2019 · 8 mos, Remote, Provided a technical review with high focus on quality of content to ensure technical accuracy, correct logical flow, error\-free code\. Done technical review for the coursework 'Masters Interactive Data Visualization with Python'\.

Data Science Consultant at Freelance, Nov 2018 \- Dec 2019 · 1 yr 2 mos, Remote, \- Provided solutions based on data to increase user engagement for movie broadcast channels\. \- Worked on various projects based on Natural Language Processing\(Sentiment analysis, Topic modelling\), Predictive analysis, Audio\-video analysis\.

## Education

Master's degree, Computer Engineering, Maharashtra Institute of Technology

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

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