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Data Engineer with Machine Learning

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Onsite

Data Engineer with Machine Learning

Virtusa

Data Engineer with Machine Learning

Skills

Data EngineeringMachine LearningAIAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


Data Engineer with Machine Learning
Work Mode :Hybrid
Work Location : Hyderabad , Chennai , Pune , Bangalore
Work Timing : 2 PM to 11 PM
Primary : Data Engineer ,Machine Learning ,AWS

Job Summary

Data Architect Consultant to design and define the end-to-end architecture for an AI-ready, feature-store-capable enterprise data platform (MDR). The ideal candidate will assess the current MDR architecture and recommend enhancements to transition from a passive repository to a first-class feature management ecosystem.

Responsibilities

  • Architect the Data Foundation Layer to manage raw and standardized source data effectively.
  • Engineer the Feature Store Layer to support reusable, governed model features, including lineage management and refresh frequency.
  • Define and implement core Feature Store entities to ensure consistency and reusability.
  • Design the Model Execution Layer architecture for seamless production scoring inputs and outputs.
  • Establish a comprehensive Monitoring & Governance Layer to track KPIs, data drift, model performance, and explainability.
  • Organize the data architecture around key business objects like Counterparties, Loans, Facilities, and Exposures.
  • Design and deploy scalable batch and real-time feature ingestion pipelines using modern data engineering frameworks.
  • Collaborate with cross-functional teams to define data quality standards, metadata frameworks, and MLOps practices.

Mandatory Skills

  • Proven experience as a Data Architect with a focus on feature management ecosystems.
  • Strong understanding of data architecture principles and best practices.
  • Experience with data ingestion pipelines and modern data engineering frameworks.
  • Expertise in managing data lineage, calculation logic, and governance.

Preferred Skills

  • Familiarity with AI/ML concepts and practices.
  • Experience in working with cloud-based data platforms.
  • Knowledge of data quality and metadata management frameworks

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