At Prodigal, we are building AI Agents for loan servicing and collections. Founded in 2018 by IITB alumni, our journey began when our founders Shantanu and Sangram faced the antiquated the $13B+ lending/collections industry was mostly using pen and paper and decided to build the first real intelligence layer for debt recovery.

Today, we stand at the forefront of a seismic shift in the industry, building Agentic AI applications for loan servicing and collections. Powered by our cutting-edge platform, Prodigal’s Intelligence Engine (PIE), we’re creating the next-generation agentic workforce - one that empowers companies to achieve unprecedented levels of operational excellence and intelligence.

With over 100+ enterprise customers across North America and backing from Y Combinator, Accel and Menlo Ventures, we are the fastest growing AI company in consumer finance.

About the DSML Team

The Data Science and Machine Learning (DSML) team owns the full lifecycle of Prodigal's ML systems, from data curation to model selection, fine-tuning, and post-training, through to deployment, evaluation, and ongoing monitoring. We sit close to real product and customer problems, and we're expected to move from experiment to production with both speed and rigor.

What You'll Do

- Understand the problem domain. Work closely with product, engineering, and customer-facing teams to turn ambiguous, real-world problems into well-scoped ML problems.
- Curate datasets. Source, clean, and structure the data needed to train and evaluate models, often before any "off-the-shelf" dataset exists.
- Train models across the full spectrum. Build and train everything from simple classifiers to neural networks, transformers, and small/large language models,



choosing the right level of complexity for the problem at hand.
- Deploy and scale for inference. Take models from notebook to production. optimizing for latency, cost, and reliability at scale.
- Evaluate and close the loop. Design evaluation frameworks that actually measure what matters, and build learning loops.

What You Bring

- Strong fundamentals in ML/DL, backed by hands-on experience training and shipping models, not just coursework or competitions.
- High agency, you take an ambiguous problem and run with it rather than waiting for it to be fully specified.
- A first-principles approach to problem-solving – you reason from the ground up rather than defaulting to whatever's fashionable or familiar.
- Genuine curiosity and the comfort to operate at the edge of what you already know.

Job Benefits:

- World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
- Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
- Food at the office – Meals are on us.



We won't let your stomach grumble while you hustle.
- Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
- Versatile schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
- Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation allowance here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
- Recreation & team activities – We regularly indulge in friendly football, table tennis, pickle ball, team dinner and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani)

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US. To learn more about us - please visit the following:

Our Story - https://www.prodigaltech.com/our-story

What shapes our thinking - https://link.prodigaltech.com/our-thesis

Our website - https://www.prodigaltech.com/

📌 Machine Learning Engineer (Mumbai)
🏢 Prodigal
📍 Mumbai