Associate Lead

About the role

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.

What you'll do

• Prepare and validate datasets from multiple sources (transactions, bureau, device/digital, documents
• Implement features engineering pipelines (aggregations, ratios, behavior signals) and maintain feature
• Build large-scale ML systems: distributed training pipelines, feature stores, model registry, CI/CD for ML, and
• Support embedding workflows (text/customer/device/dealer/geo) including batch refresh, versioning, and
• Help create/maintain canonical objects, entity dictionaries, taxonomies/ontologies, and labeling guidelines

What you need

• 0–2 yrs of experience
• Machine learning
• SQL
• Python
• Pandas
• Spark
• MLOps
• B.Tech or B.E.

Good to have

• IPR
• PyTorch
• TensorFlow
• Airflow
• Git
• Elasticsearch