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AI / Machine Learning Engineer

hybrid6,000 SGD · period not specifiedSingapore, SGScore 67.5/1003w ago
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Deep LearningTensorFlowMachine LearningGitscikit-learnTechnical Project ManagementArtificial IntelligencePyTorchAlgorithm DevelopmentPythonAnomaly DetectionArtificial Intelligence Application
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Description
AI / Machine Learning Engineer – Sensor & Edge AI We are looking for an AI / Machine Learning Engineer to develop intelligent solutions using sensor, time-series, telemetry and operational data. You will work on real-world AI applications involving areas such as sensor intelligence, anomaly detection, predictive diagnostics, energy optimisation and Edge AI , collaborating closely with software, hardware, embedded, cloud and product teams. Key Responsibilities Develop and evaluate Machine Learning and Deep Learning models for forecasting, classification, anomaly detection, optimisation and predictive diagnostics. Analyse sensor, time-series, telemetry, image and operational data to identify patterns and develop AI-driven solutions. Build prototypes, conduct experiments, perform error analysis and compare different modelling approaches. Work with domain experts to define data requirements, features, labels, evaluation metrics and acceptance criteria. Optimise and package ML models for cloud, edge, embedded or hybrid deployment . Independently manage AI/ML projects from problem definition and technical design through development, testing, integration and deployment. Collaborate with software, hardware, embedded, cloud, data and MLOps teams to deliver production-ready AI solutions. Apply modern AI-assisted development tools to support coding, testing, debugging and technical research. Requirements Bachelor’s degree or above in Computer Science, Artificial Intelligence, Machine Le
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