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Open nowPosted 10 days ago

AI / Machine Learning Engineer

MyCareersFuture94,028 open roles

Pay
SGD 6,000 – SGD 8,500 a month
Where
Singapore
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Your applicationOpen nowAI / Machine Learning EngineerMyCareersFuture · Singapore
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  2. 3.3%3 days
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  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 10 days ago

The posting

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 Learning, Data Science, Engineering or a related discipline.
  • At least 3 years of relevant experience in AI/ML Engineering, Machine Learning, Deep Learning, Data Science or Algorithm Development.
  • Strong programming skills in Python.
  • Hands-on experience with PyTorch, TensorFlow, Scikit-learn or similar ML frameworks.
  • Experience developing and evaluating ML/DL models using real-world datasets.
  • Experience working with sensor, time-series, telemetry, image or operational data.
  • Good understanding of model experimentation, evaluation, error analysis and performance optimisation.
  • Ability to independently deliver end-to-end AI/ML projects.
  • Familiarity with Git, APIs, automated testing, documentation and CI/CD.
  • Strong communication skills and ability to work across engineering teams.

Registration No.: R25156061

EA No.: 11C3373

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