HERE Technologies

Bengaluru
Total Offices: 4
6,000 Total Employees
Year Founded: 1985

HERE Technologies Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week

Global Office Locations

Bengaluru

RMZ Eco Space, Unit No- 501 Campus 1C, 5th Floor Sarjapur Outer Ring Road, Bengaluru, India, 560103

Gurugram

22nd Floor, DLF Epitome, Building No 5, Tower A, DLF Cyber City Phase 2, Sector 25, Gurugram, India, 122002

Mumbai

11th Floor, B Wing, Nesco IT Park - Tower 4 Western Express Highway, Mumbai, India, 400063

Navi Mumbai

Unit No. 901, 9th Floor, Building No. 4, M/S Gigaplex Estate Private Limited-SEZ, Navi Mumbai, India, 400708

8 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
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.
14 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
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.
14 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
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.