Articles about HERE Technologies

Lead design and deliver efficient perception models for road scenes, optimize models for edge devices (Jetson, Snapdragon, ARM), improve real-time inference via quantization/pruning/distillation, convert/deploy with TensorRT/ONNX, build scalable training/evaluation with PyTorch or TensorFlow, and collaborate with embedded and software teams to produce production-ready edge AI systems.

Design, develop, and deploy ML models (classification, forecasting, NLP). Build scalable data pipelines, integrate AI solutions into production, and operationalize LLM and generative AI use cases. Improve model performance, ensure monitoring, governance, and lifecycle management while collaborating with Data Ops, Product, and Engineering teams.

Support production management with quality monitoring, audits, data-driven analysis, process re-engineering, continual improvement, Lean Six Sigma methods, ISO-related auditing, and basic prompt engineering/AI deployments across cross-functional and international teams.