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Principal AI/ML Engineer (Computer Vision)
Lead AI/ML engineering for computer vision systems in a global supply-chain company, designing models, optimizing for production, and guiding teams to integrate vision solutions into products.
Machine Learning Engineer
Build and scale AI/ML systems for semiconductor manufacturing and analytics, combining classical ML with Generative AI on AWS Bedrock to deliver anomaly detection, predictive maintenance, and LLM-powered workflows.
Lead Machine Learning Engineer
Lead the design and delivery of end-to-end scalable machine learning systems using Python, TensorFlow, and cloud platforms, while mentoring teams and shaping ML strategy for high-stakes client projects.
Senior Data Scientist
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Senior Machine Learning Engineer
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Data Scientist (Geospatial)
Build and deploy geospatial ML models to forecast education demand and optimize Singapore’s long-term infrastructure planning using Python, cloud platforms, and spatial analytics.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy AI-powered applications using LLMs, vector databases, and agentic AI frameworks like LangChain or Microsoft Copilot Studio for enterprise solutions.
First VP, Senior Data Engineer, Group Technology & Ops
Build and maintain enterprise-scale data platforms (Lakehouse, Kafka, Spark) and AI-ready data products for a major bank, focusing on ingestion, governance, and real-time analytics.
Data Engineer - United Overseas Bank
Builds and optimizes data pipelines and real-time systems for a major bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
AI Engineer (Azure AI Solutions)
Design and deploy AI-powered solutions using Microsoft Azure AI services, building scalable models and integrating them into enterprise applications.
AI Machine Learning Engineer - Predictive Maintenance focus
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Machine Learning Engineer (AI/ML Lab)
Design and deploy production-grade AI/ML models and pipelines for airport operations, focusing on computer vision, NLP, and generative AI systems.
Manager, Data Engineer, Group Technology & Ops
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.
Staff Engineer Data Scientist
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.
Data Scientist (AI & Machine Learning)
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.
Data Scientist - AI,ML
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.
AI Engineer (Generative AI / AI-ML / Microsoft Copilot)
Build and deploy enterprise AI solutions using LLMs, AI agents, and Microsoft Copilot tools to automate workflows and enhance productivity.
Senior AI/Machine Learning Engineer
Build and deploy production-grade AI/ML models, including LLMs with RAG and AI agents, using Python, PyTorch/TensorFlow, and cloud MLOps tools.
AI Software Engineer
Build and deploy AI-powered systems using Python, TensorFlow/PyTorch, Docker/Kubernetes, and cloud services; integrate models via REST/gRPC APIs and monitor performance in production.
Machine Learning Engineer
Build and deploy AI/ML pipelines for mobility systems, designing scalable data solutions and analytics dashboards to optimize transport networks and customer experience.