AI / Machine Learning Engineer

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. #J-18808-Ljbffr