Data For AI Testing

Infosys

India

Hybrid

INR 350,000 - 550,000

Full time

14 days+

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Benefits offered by this job

Restaurant d'entreprise
Indemnités de stage/alternance

Job summary

Infosys is seeking a senior data quality and analytics testing expert to drive AI data assurance programs and governance across GenAI initiatives. The role requires hands-on experience with cloud platforms and a proven ability to lead cross-functional teams in complex data projects.

The candidate should demonstrate deep understanding of ETL testing, data pipelines, and AI readiness, while mentoring stakeholders and delivering reliable analytics outcomes in fast-paced environments.

Qualifications

  • Extensive experience in data quality and analytics testing.
  • Led AI data assurance and GenAI initiatives.
  • Strong knowledge of AI governance and data readiness.
  • Hands-on with cloud data & AI platforms.

Skills

Data Quality Engineering
Analytics Testing
AI Data Assurance
GenAI / LLMs
RAG Architectures
Prompt Engineering
Vector Databases
DataOps / MLOps
AI Governance
SQL
Python

Tools

Azure
AWS
GCP
Databricks
Snowflake
Microsoft Fabric
Informatica
Azure Data Factory

Job description

Required Skills & Experience
  • 8+ years of experience in Data Quality Engineering, Analytics Testing, or Data driven transformation programs.
  • 5+ years leading AI Data Assurance, AI/GenAI, Analytics, or AI Quality Engineering initiatives
  • Strong knowledge of AI/ML, GenAI, LLMs, various RAG Architectures, Prompt Engineering, Vector Databases, DataOps/MLOps, and AI Governance.
  • Strong expertise in ETL Testing, Analytics & BI Testing, Reporting Validation, AI Data Readiness Assurance, AI Data Harness Assurance, AI Data Outcome Assurance and Continuous AI Assurance
  • Hands-on Experience with Cloud Data & AI Platforms such as Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, or similar.
  • Strong leadership, stakeholder management, communication, and mentoring skills.
Technical & Professional Requirements
  • Agile Delivery, Quality Governance
  • AI Data Assurance, AI/ML, GenAI, LLMs & RAG Architectures
  • Data Quality, Data Governance & Responsible AI
  • ETL, Data Warehouse, Analytics, BI & Data Integration Testing
  • SQL, Snowflake, Databricks, Informatica & Azure Data Factory (ADF)
  • Prompt Engineering & Retrieval Assurance
  • Python, PySpark & Test Automation
  • Playwright, API Testing
  • Vector Databases, AI Data Pipelines, DataOps & MLOps
  • Azure, AWS & GCP Data & AI Platforms
  • Jira, Zephyr, Azure DevOps & CI/CD
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