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Posted 5 months ago

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machine learning engineer

HyderabadOn-siteFull-time

AI Summary

Builds and refines ML-driven software and production systems for loan decisioning; collaborates with engineers to design scalable ML infrastructure, deploy models, and monitor live performance.

About this role

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

    • Skills

    APIsCI/CDCloud PlatformsContainerizationData IngestionData PipelinesFeature EngineeringInference ServicesJavaML LifecycleModel DeploymentMonitoringMulti-tenant SystemsOrchestrationProduction-grade SoftwarePythonScalaScalable ML InfrastructureVersion Control

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