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 Doing

• Design, 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 For

• Degree 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 Ltd
ROC No.: 199706961E | EA Licence No.: 03C5451
EA Registration No.: R1872517 Annie Ho