AI / Machine Learning Engineer

AI / Machine Learning Engineer – Sensor & Edge AIWe 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 ResponsibilitiesDevelop 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.RequirementsBachelor’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.: R25156061EA No.: 11C3373