Senior AI ML Engineer (MLOps)

About Balancehero

Balancehero India Pvt. Ltd. (BHI), the wholly-owned subsidiary of Balancehero Co. Ltd., Korea which runs and operates the mobile app “True Balance”- a one-stop destination for financial services.” Founded by Charlie Lee in Korea in 2014, Balancehero started its operations in India in the year 2016. It started off as a balance check application and the company has expanded its business model to financial services. The company aims to build a financial platform for the next billion which set the context for loans, utility services, pay later services, and commerce services. The Company's wholly-owned subsidiary True Credits Private Limited, is a licensed NBFC that aims to bridge the financial gap in India by making Finance available for all. True Credits lends through the True Balance mobile application.

About True Balance

Owned and operated by BalanceHero Group, True Balance is an RBI authorized Prepaid Payment Instrument (PPI) issuing entity. It offers loans through its subsidiary and RBI licensed Non-Banking Financial Company - True Credits Private Limited and other RBI licensed partners. Founded in 2016, as a mobile app for users in India to efficiently manage their phone calls and data usage, True Balance is now India’s one of the top financial services platforms providing solutions to all the financial needs of its users - from obtaining instant loans, paying utility bills to do prepaid recharges seamlessly. To date, True Balance has raised more than US$84 million in equity funding from marquee global investors like Softbank, Naver, and Line to name a few. The company aims to become the go-to financial services platform for the next billion people in India, playing a key role in the nationwide push towards the goal of Digital India and advancing financial inclusion amongst the unbanked and underbanked people.

Job Title : Senior AI ML Engineer

Experience : 7 years+

Location : Gurgaon

About the Role

: BalanceHero's ML Engineer builds and operates training / serving systems and data pipelines for ML / LLM powered applications in the fintech domain.

About the Responsibilities

Leading actual business impact by training / deploying ML models

Training ML / LLM models in production level

Building and operating data pipelines and feature stores for training and serving ML / LLM models

Building and operating ML / LLM model serving systems

Building and operating monitoring systems for ML / LLM powered applications

Managing and deploying ML / LLM model versions

Requirements

Fluent in Python

Experience on designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment

Experience on managing model versions and deployments while continuously updating one or more ML-powered applications

Experience on operating ML Products that provide real-time prediction services

Experience on open source (Triton, torchserve, BentoML, ONNX, etc.) and cloud solutions (AWS Sagemaker Endpoint, GCP Vertex AI, etc.) for model serving

Preferred qualification

Experience on Pyspark and Polars in large scale project

Experience on AWS ML-related services (EMR, Glue, Sagemaker, Athena, etc.

Experience optimizing high-performance models using GPU