Machine Learning Pipeline Engineer

Roles & Responsibilities:

As an AI Engineer in Data Intelligence Unit, you will help build and operate the core building blocks of Data Representation learning and Context Engineering across the credit Risk, Fraud/FRM, Sales, Collections & Recovery. You will work with senior engineers and Data scientists to converts raw structured and unstructured data into reliable features, embeddings, retrieval-ready knowledge assets, and repeatable evaluation pipelines – so downstream AI pods can ship models faster, safer, and with measurable quality.

1) Data Representation Pipelines

· Prepare and validate datasets from multiple sources (transactions, bureau, device/digital, documents,

CRM/operations)

· Implement features engineering pipelines (aggregations, ratios, behavior signals) and maintain feature

definitions.

· Build large-scale ML systems: distributed training pipelines, feature stores,...