Role Description

• 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.

Requirement

• Bachelor’s degree or above in Computer 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

Application Instruction

Please Indicate Job Code “120-Dev” on the email subject