Data & AI Platform Engineer- AIDA

Powering the Future with AIDA

To lead the next phase of our AI evolution, we've launched a new business unit

AIDA

–

Artificial Intelligence & Data Analytics

– a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.This marks a

pivotal shift

in how we operate, innovate, and serve to embed intelligence into every layer of our business.

At

Singtel

, this is more than a technology upgrade. It's a

strategic transformation

that redefines how value is created across the enterprise core—

augmenting human capabilities

and unlocking entirely new potential. It is a transformation journey by aligning

people, platforms, and processes

under one cohesive strategy. Our mission is to build

AI literacy

, and foster a culture where

intelligence empowers people

.

We welcome you to join us

on a transformational journey that's reshaping the telecommunications industry — and redefining what's possible with AI at its core.

Grow with us

in a workplace that champions

innovation

, embraces

agility

, and puts

human potential

at the heart of everything we do.

Be a Part of Something BIG!

Design, build, productionize, and support scalable document parsing and content extraction pipelines on a modern hybrid cloud platform, handling structured and unstructured data including PDFs, PPTX, Excel, Word, images, scanned documents, videos, audios, charts, tables etc

Design and implement OCR, VLM, and multimodal AI pipelines leveraging state-of-the-art models (e.g., GPT- [4/5]o, vision-language models, Text-to-Speech) for accurate content extraction, layout understanding, and table/chart interpretation

Develop and optimize embedding models, including fine-tuning and domain adaptation to support organization-specific terminology, keywords, and semantic search use cases

Implement knowledge ingestion, indexing, and retrieval pipelines for RAG (Retrieval-Augmented Generation) and agentic GenAI systems, ensuring high recall, precision, and low-latency retrieval

Make An Impact By

Build and maintain data ingestion pipelines for batch and streaming data sources using tools/library like Kafka, LlamaIndex, LangChain, PyMuPDF, MSAL etc.

Implement layout-aware parsing to accurately preserve document structure, hierarchy, and reading order (using OCR, VLM, and multimodal AI solutions).

Extract accurate numeric and semantic data from complex charts and irregular tables while preventing hallucinations.

Assist in integrating data from diverse source systems (files, APIs, databases, streaming)

Implement, fine-tune, and optimize embedding models to support organization-specific terminology, improving semantic search, retrieval accuracy, and downstream GenAI performance.

Help maintain metadata and pipeline documentation for transparency and traceability

Participate in integrating pipelines with tools such as Microsoft Fabric, Databricks, Delta Lake, and other platform components

Build and maintain knowledge base and RAG solution on cloud (Azure)

Implement and operate knowledge base storage, lifecycle management and embedding/vectorization

Contribute to automation efforts using version control and CI/CD workflows

Apply basic data governance and access control policies during implementation.

Skills For Success

Bachelor's degree in Computer Science, Engineering, or a related field

1–3 years of experience in data engineering or data platform development. Fresh graduates encouraged to apply as well.

Proven ability to independently build basic batch or streaming document processing pipelines

Hands-on experience with Python, PyTorch, PEFT, LoRA, OCR, VLM, LLM, prompting, Text-to-Speech models and SQL for data transformation and validation

Familiarity with Apache Spark (especially PySpark) and large-scale data processing concepts

Experience with implementing knowledge base and RAG solutions for agentic AI use cases

Self-starter with strong problem-solving skills and a keen attention to detail

Able to work independently while collaborating effectively with senior engineers and other stakeholders

Strong documentation and communication skills

Are you ready to say hello to BIG Possibilities

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!