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!
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!