AI/Data Engineer for Unstructured Data & RAG Pipelines

Virtusa; Dubai; On-site; AED 300,000 - 480,000; Full time

Job summary

Virtusa is seeking an AI/ML-focused Data Engineer to build intelligent data pipelines for unstructured content and integrate with modern ML ecosystems. The role emphasizes PySpark and Python, with a focus on document classification, cleansing, quality metrics, and working with LLMs, vector databases, and RAG frameworks.

You will bridge data engineering and machine learning to enable AI-first applications, collaborating with AI architects and platform teams to design end-to-end AI data readiness

Qualifications

• 5+ years of commercial data engineering experience.
• Strong PySpark and distributed data expertise.
• Experience with unstructured data, OCR/NLP, and ML/AI tools.

Responsibilities

• Build robust scalable pipelines for unstructured documents using PySpark and cleansing techniques.
• Develop data workflows feeding LLM-based pipelines with RAG and vector embeddings.

Skills

PySpark

Python

ML/AI libraries

Tools

Transformers

LangChain

Hugging Face

FAISS

Redis

Job description

Virtusa is seeking an AI/ML-focused Data Engineer to build intelligent data pipelines for unstructured content and integrate with modern ML ecosystems. The role emphasizes PySpark and Python, with a focus on document classification, cleansing, quality metrics, and working with LLMs, vector databases, and RAG frameworks.

You will bridge data engineering and machine learning to enable AI-first applications, collaborating with AI architects and platform teams to design end-to-end AI data readiness