Job description

Prefr (a brand under Dreamplug Technologies Pvt. Ltd.) is a tech-first fintech platform reshaping how India’s digital-first generation experiences credit. we currently offer instant personal loans from ₹50,000 to ₹5,00,000 through a seamless, end-to-end digital journey — serving India’s creditworthy yet underserved segments, in partnership with RBI-approved top-tier financial institutions. our mission to become the largest platform for delivering fast, transparent and trusted credit for the millions - by bringing together distribution depth, AI-driven intelligence & multi-lender access.

what will you do:

own and evolve core frameworks powering the loan decision-making process across the company

design, develop, and optimize scalable ML infrastructure and software frameworks that integrate seamlessly with production systems

partnering with senior engineers and domain leads to lay groundwork for agentic systems – from auto-insight generation to internal decision copilots (e.g., AI for BI)

help develop data and model lifecycle: from ingestion and feature engineering to deployment and monitoring

build generalized systems that support multi-tenant use across verticals be it policy or data for analytics

continuously monitor production performance to ensure that live systems behave as expected, and proactively propose improvements

document learnings, scale reusable patterns, and drive adoption of best practices in ML system design

you should apply if:

you have 3+ years of experience building production-grade software systems in java / scala / python

you have familiarity with ML lifecycle and deployment practices, even if not deep modeling experience

you exhibit deep business understanding by translating technical capabilities into impactful solutions, ensuring that frameworks contribute directly to business outcomes

you are comfortable working in a fast-paced, startup environment and taking end-to-end ownership

you possess a strong sense of compounding, capable of building modular, iterative solutions that grow in capability over time, especially in the context of Agentic AI frameworks

machine learning engineer

machine learning engineer · CRED

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