Senior AI ML Engineer

About the job

As a Senior AI ML Engineer at Balancehero, you will build and operate training/serving systems and data pipelines for ML/LLM powered applications in the fintech domain. • You will lead actual business impact by training/deploying ML models • You will train ML/LLM models in production level • You will build and operate data pipelines and feature stores for training and serving ML/LLM models • You will build and operate ML/LLM model serving systems • You will build and operate monitoring systems for ML/LLM powered applications • You will manage and deploy ML/LLM model versions You must be fluent in Python. You must have experience designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment. You must have experience managing model versions and deployments while continuously updating one or more ML-powered applications. You must have experience operating ML Products that provide real-time prediction services. You must have experience with open source and cloud solutions for model serving. • You should have experience with Pyspark and Polars in large scale projects • You should have experience with AWS ML-related services such as EMR, Glue, Sagemaker, Athena etc. • You should have experience optimizing high-performance models using GPU.

Requirements

• Python
• Hadoop Ecosystem
• Pyspark
• Polars
• AWS ML services

Preferred Technologies

• Python
• Hadoop Ecosystem
• Pyspark
• Polars
• AWS ML services

About the company

Founded in 2014, a Korean fintech company started its operations in India in the year 2016. It initially focused on balance check applications and has expanded its business model to financial services. The company aims to build a financial platform for the next billion users which set the context for loans, utility services, pay later services, and commerce services. A licensed NBFC subsidiary, True Credits Private Limited, aims to bridge the financial gap in India by making finance available for all.