Job Description

We are looking for an AI/ML-focused Data Engineer who brings deep expertise in building intelligent data pipelines for unstructured content and is experienced in integrating with modern machine learning ecosystems. The ideal candidate will have hands-on experience in PySpark and Python, with a strong focus on document classification, cleansing, quality metrics, and the ability to work with LLMs, vector databases, and Retrieval-Augmented Generation (RAG) frameworks. Candidates will play a critical role in bridging data engineering and machine learning, enabling the development of AI-first applications across the enterprise.


Key Responsibilities:


Build robust, scalable data processing pipelines for unstructured documents (PDFs, emails, forms, etc.) using PySpark and Python.


Implement document cleansing, classification, and enrichment techniques to prepare high-quality data for AI/ML applications. Develop and integrate data workflows that feed into LLM-based pipelines and support vector-based retrieval using RAG architectures.


Engineer vector embeddings, document chunking, and metadata tagging for semantic search and question-answering systems.


Collaborate closely with AI architect, AI/Data engineers, and platform teams to design end-to-end AI solutions.


Communicate data readiness, pipeline quality, and model integration strategies clearly to both technical and non-technical stakeholders.


Apply Agile methodologies and CI/CD best practices to deliver continuously evolving AI capabilities Required Skills:


Overall 5+ years of commercial experience with 2+ years in relevant role Strong proficiency in PySpark and distributed data frameworks.


Solid experience in core Python, including ML/AI libraries (e.g., Transformers, LangChain, Hugging Face, FAISS, etc.).


Proven expertise in processing unstructured data and document intelligence (OCR, NLP, classification, tagging).


Familiarity with vector databases (e.g., Redis) and embedding models for RAG pipelines.


Understanding of LLM lifecycle, including fine-tuning, inference, and prompt engineering.


Experience working in agile environments, collaborating with cross-functional teams.


Excellent communication skills with the ability to interface with both technical and business stakeholders.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.