Articles about HERE Technologies

Build, operate, and improve end-to-end Agentic AI/ML pipelines and map compilation platform for HD live maps. Implement scalable CI/CD/CT for ML workflows, orchestrate reliable data and pipeline systems, deploy containerized models in cloud-native environments, monitor model performance and data drift, manage ML lifecycle/versioning, automate releases and infrastructure provisioning, and collaborate on architecture and incident resolution.

Lead design, development, and operation of scalable microservices on AWS using Java/Scala/Python. Own end-to-end feature delivery, produce technical designs, mentor peers, and drive engineering best practices. Collaborate with global stakeholders and use data-driven decisions to recommend architectural changes.

Design, build, and deploy production-scale AI systems combining LLMs, agentic multi-agent architectures, classical ML, and retrieval/embedding stacks. Lead model development, multimodal and vision-language solutions, confidence gating, MLOps, and cross-team delivery while mentoring engineers and driving research-to-product translation with responsible AI practices.