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Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
Data Science & AI Engineer
Build and deploy AI models (computer vision, ML) and data pipelines to automate avionics workflows and deliver data-driven insights for Thales’ flight systems.
Data Science & AI Engineer
Thales Research & Technology (TRT) is Thales' international research organization, transforming innovative ideas into technological differentiators that power the next generation of solutions. In Singapore, TRT…
Data Engineer- A26266
Data Engineer to build and maintain AI evaluation frameworks for Singapore’s public-sector digital initiatives, focusing on NLP, generative AI, and responsible AI practices.
Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Data Engineer (Cloud Data Platform Engineer)
Build and operate an AWS-based ML and monitoring platform using SageMaker, Prometheus, and Grafana, while automating cloud infrastructure with Terraform and CI/CD.
Data Engineer – Databricks & AWS
Build and maintain enterprise data platforms using Databricks, AWS, and Apache Spark, including ETL pipelines, data warehousing, and performance optimization.
Senior Data Scientist & AI Engineer
Build and deploy AI models on AWS, collaborating with teams to integrate data-driven solutions and solve complex business problems using deep learning and MLOps.
Backend Engineer, AI
Backend Engineer building scalable Python/Node.js services that integrate PyTorch and LLMs to power AI-driven applications and APIs.
Senior Data Engineer (Public Sector)
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.
Consultant - Data Engineer (AI-Enabled Data Engineering)
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
AI & Data Engineering Architect — GenAI, AWS, Spark
Designs and builds scalable GenAI and data engineering pipelines on AWS using Python, PySpark, and Cloudera/Hadoop to productionize ML models and modernize enterprise data workloads.
Backend Engineer - AML Engine Orchestration Singapore Regular
Build and optimize distributed orchestration frameworks for large-scale ML training and inference in Kubernetes, focusing on resource efficiency and next-gen recommendation systems.
Information Technology Consultant (AI Data Engineer (Cloudera to AWS Migration)
Build and migrate AI/ML pipelines from Cloudera to AWS, using Python, PySpark, and AWS services like Sagemaker and Glue to deploy scalable GenAI and ML models.
Data & AI Engineer
Design and lead AI/ML and GenAI architectures, build AI solutions in a Center of Excellence, and advise business units on AI adoption and governance.
Lead AI Engineer – AI & Data (Banking Industry)
Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while mentoring teams and aligning AI projects with business goals.
Senior Data Engineer
Designs cloud data pipelines and warehouses, builds models for analytics and ML, and partners with teams to enable real-time customer personalization using Python, SQL, and GCP/AWS/Azure.
Data Scientist - AI,ML
Build and deploy AI/ML models (time-series, CV, NLP) to solve business problems, lead end-to-end ML projects, and collaborate with engineers to ship models to production.
Data Engineer
Build and maintain scalable data pipelines and semantic models for Visa’s finance data platform, and operationalize GenAI features like RAG and agent workflows to enhance decision-making across Finance.
Senior Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.