Position Overview
The AI/ML Engineer is a hands-on technical specialist responsible for designing,
building, and operationalizing AI and machine learning capabilities within the
MDM platform and its surrounding ecosystem. This role focuses on applying AI/ML
to core MDM problems — entity matching, deduplication, data quality scoring,
anomaly detection, and intelligent automation of data stewardship workflows.
This is not a research role — the AI/ML Engineer builds production-grade models
and integrates them into the MDM platform's operational pipelines. The role
operates under the "you build it, you support it" model, owning AI/ML features
from experimentation through production deployment and ongoing monitoring.
The AI/ML Engineer works closely with the MDM Architect (who drives overall
technical direction), the Engineering Manager (who drives delivery), and
MDM/Integration developers (who build the platform and pipelines that AI/ML
models plug into).
Key Responsibilities AI/ML Model Development & Integration
* Design, build, and train ML models for entity matching,
deduplication, and
record linkage across customer, supplier, contact, and item domains
* Develop probabilistic and deterministic matching algorithms that improve
match accuracy over traditional rule-based approaches
* Build data quality scoring models that assess completeness, accuracy,
consistency, and timeliness of master data records
* Develop anomaly detection models to identify data quality issues, unusual
patterns, and potential duplicates in real-time data flows
* Design and implement intelligent survivorship logic using ML to determine
optimal golden record attribute values from multiple sources
* Build NLP/text processing capabilities for entity name standardization,
address parsing, and fuzzy matching
* Integrate AI/ML models into MDM platform workflows — matching, merging,
stewardship routing, and exception handling
* Develop automated data classification and categorization models for inco
📌 Application Development (Pune)
🏢 Vertiv
📍 Pune