Machine Learning Engineer — Intelligent Payroll (TPY)

Team: HC Forward — Intelligent Payroll Role type: Individual contributor, builder track (no client engagement) Experience: 8–10 years hands-on building production data/ML systems Openings: 2

Human Capital — HC Forward

The Human Capital Offering Portfolio helps organizations manage and sustain their performance through their most key asset: their people. We see Human Capital as a topic critical to the C-Suite, and we bring together technology, insights, and services to help our clients innovate faster and proactively drive their business strategies.

HC Forward is Deloitte’s innovation engine for Human Capital — integrating technology, data, and industry expertise to create scalable solutions and assets that extend client capabilities and drive ongoing value across all Human Capital offerings.

About Intelligent Payroll

Intelligent Payroll is an HC Forward platform that uses machine learning to detect anomalies, forecast variances, and reduce manual intervention in enterprise payroll processing. It runs on Azure,



ingests data from multiple HRIS sources (SAP, Oracle, ADP, Workday), normalises it into a common data model, and serves both batch ML pipelines and rule-based validation engines.

This is a builder role. You will spend your time writing production Python code, designing pipelines, and shipping features. You will not be in client workshops, executive presentations, or pre-sales.

Data Scientist, 5-8 years experience,

Work you’ll do

∙Design and ship distributed data processing pipelines in PySpark, moving raw payroll data through a medallion architecture (raw → standardised → aggregated → modelled)

∙Build ML pipelines for time-series forecasting and anomaly detection over payroll data

∙Write clean, class-based, testable Python — interfaces, factories, dependency injection, not 800-line procedural scripts

∙Submit and orchestrate Spark jobs programmatically on a managed cloud ML platform (we us

📌 Data Scientist (Hyderabad)
🏢 Alignity Solutions
📍 Hyderabad