Machine Learning Engineer (Edge AI)

We are partnering with an established technology organisation that is expanding its AI engineering capability across intelligent systems, predictive analytics and edge AI.This is a hands-on engineering role focused on developing practical machine learning solutions using real-world sensor, operational and time-series data.What You'll Be DoingDesign, develop and evaluate machine learning and deep learning models for forecasting, classification, anomaly detection, optimisation and predictive diagnostics.Analyse complex datasets including sensor, telemetry, time-series, image and operational data.Work closely with domain and engineering teams to define data requirements, feature engineering approaches, labels, evaluation metrics and acceptance criteria.Build prototypes, conduct experiments, compare modelling approaches and perform detailed error analysis.Improve model accuracy, robustness, efficiency and real-world performance.Optimise and package validated AI models for cloud, edge, embedded or hybrid environments.Own AI initiatives 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, documentation and technical research.Continuously evaluate and improve deployed AI models based on system performance and operational feedback.What We're Looking ForDegree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering or a related field.At least 3 years of relevant experience in Machine Learning, AI Engineering, Deep Learning, Data Science or algorithm development.Strong programming skills in Python and hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn or equivalent.Strong understanding of model development, experimentation, validation, error analysis and performance optimisation.Experience working with real-world datasets such as time-series, sensor, telemetry, image or operational data.Ability to independently design and deliver end-to-end AI / ML projects.Familiarity with Git, APIs, automated testing, documentation and CI/CD practices.Do note that we will only be in touch if your application is shortlisted.Robert Walters (Singapore) Pte LtdROC No.: 199706961E | EA Licence No.: 03C5451EA Registration No.: R1872517 Annie Ho