Job Purpose
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.Duties and Responsibilities
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, model registry, CI/CD for ML, and

scalable batch + near-real-time scoring services.

· Support embedding workflows (text/customer/device/dealer/geo) including batch refresh, versioning,



and

lineage.

2) Knowledge Engineering Support (Canonical Objects & Metadata Assets)

· Help create/maintain canonical objects, entity dictionaries, taxonomies/ontologies, and labeling guidelines.

· Support annotation/labeling workflows (quality checks, consistency, sampling) for training and evaluation.

3) Experimentation & Model Operations

· Execute training/inference jobs using established frameworks, log experiments and outcomes.

· Perform error analysis, data leakage checks, and basic model monitoring (drift signals, data anomalies)

· Contribute to deployment readiness: tests, reproducible configs, and incident triage support.

4) Retrieval & Context Engineering Support (LLM/RAG enablement)

· Assist document processing: chunking, cleaning, metadata tagging, indexing access filters.

· Maintain prompt/context templates, grounding rules, and evaluation sets for RAG/LLM assista

📌 Product Specialist (Pune)
🏢 Bajaj Finance
📍 Pune