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Design and maintain analytics-ready data marts and resilient data pipelines using SQL and Spark to ensure data integrity and support evidence-based decisions.
Build and optimize scalable data pipelines and real-time systems for a major bank using Java, Spark, Python, and the Hadoop ecosystem to support AI-driven analytics and risk scoring.
Data Engineer builds and migrates SQL-based reporting pipelines for a bank, replacing legacy data marts with Hive/Impala and validating accuracy.
Build and maintain large-scale data pipelines and deep learning models to drive AI-driven insights for semiconductor and IoT solutions, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and maintains ETL workflows using Python, Spark, Hive, and HDFS, optimizing SQL across Oracle, Teradata, or SQL Server.
Build and deploy deep-learning models for computer vision, voice, and text to power financial solutions using PyTorch.
Designs and deploys AI-driven solutions, optimizes ML models in the cloud, and translates business needs into technical results using Python or R with TensorFlow or PyTorch.
Designs and builds secure, scalable data pipelines for health programmes, ensuring real-time insights and compliance with Python and data governance best practices.
Build and deploy AI/ML models into production, writing scalable code and collaborating with engineers and stakeholders to deliver enterprise AI solutions.
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
Build and maintain automated test suites for data pipelines and UI using Playwright, Vitest/Jest, and JMeter, collaborating with developers to ensure quality.
Build and improve AI-driven manufacturing and engineering solutions using ML, deep learning, and optimization to solve production challenges.
Build AI models and predictive analytics for semiconductor manufacturing, using data science to optimize smart factory processes and improve yield.
Build and automate AI model deployment pipelines for a Singapore bank, enabling secure, scalable delivery of LLM solutions across cloud and container platforms.
Design and build scalable data platforms that power AI-driven analytics and insights across APAC and Europe, including data warehouses, lakes, pipelines, and governance frameworks.
Develops and maintains IoT solutions, integrating devices with Windows frontends and backend APIs using C++, C#, PHP, and MySQL.
Build and enhance ML/AI systems to proactively detect fraudulent behavior using Python/Go, databases, and AI frameworks for a global fraud intelligence platform.
Design and deploy AI algorithms for robot perception, planning, and control in unstructured environments using Python/C++ and ROS/ROS2.
Leads cloud-native data engineering projects using AWS and Snowflake, designing scalable pipelines and coaching teams to improve data quality and production stability.
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