AI Engineer - Product Intelligence (ref: 120)

AI Engineer - Product Intelligence (ref: 120) Job Responsibilities: Develop and evaluate Machine Learning (ML) and Deep Learning (DL) models for sensor intelligence, forecasting, classification, anomaly detection, optimization, and predictive diagnostics, and analyze sensor, time-series, telemetry, image, and operational data. Work with domain experts to define data requirements, features, labels, evaluation metrics, and acceptance criteria. Build prototypes, conduct experiments, compare technical approaches, perform error analysis Optimize and package validated models for cloud, edge, embedded, or hybrid deployment. Independently lead assigned AI 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, Use AI-assisted coding tools to improve development, testing, debugging, documentation, and technical research. Requirements: Bachelor’s degree or above in Co mputer Science, AI, Machine Learning, Data Science, Engineering, or a related field, with at least 3 years of relevant experience in AI engineering, machine learning, deep learning, data science, or algorithm development. Strong Python programming skills with hands-on experience in PyTorch, TensorFlow, scikit-learn, or similar frameworks. Solid understanding of model development, evaluation, experimentation, error analysis, and performance improvement, with experience working with real-world sensor, time-series, telemetry, image, or operational data. Ability to independently plan, execute, and deliver end-to-end AI/ML projects Familiarity with Git, automated testing, APIs, documentation, and CI/CD; and good communication skills to work with cross-functional engineering teams. Experience in one or more of the following is preferred: mmWave radar, signal processing, sensor fusion, presence detection, activity recognition, edge AI, ONNX, TensorRT, model compression, embedded deployment, energy optimization, HVAC, HEMS, EV charging, predictive maintenance, or control algorithms. Familiarity with MLflow, Docker, Kubernetes, model monitoring, LLM applications, AI agents/tool calling, and translating AI prototypes into reliable production solutions is preferred. C/C++ is an advantage Interested applicants, please send your updated resume MS Word to [email protected]. Please Indicate Job Code “120-Dev” on the email subject We regret that only shortlisted candidates will be notified. John Bryan (Reg No. R1106648) IT Consultancy & Services Pte Ltd EA No: 92C5311 Please visit www.itcspl.com to learn more information about ITC