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

2 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Execute risk-based IT audit engagements covering SOX ITGCs, application controls, cybersecurity, cloud, privacy, AI governance, technology operations, and third-party risks. Responsibilities include planning, risk assessment, control testing, audit reporting, remediation validation, SOC report reviews, stakeholder collaboration, and improving audit methodologies through analytics and automation.
2 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Create accessible, brand-consistent web graphics and digital visual assets for campaigns, launches, content updates, websites, and email. Translate complex technology concepts into compelling visual stories while collaborating with UX, UI, Content, Marketing, Product, Development, agencies, and subject matter experts. Manage design requests, optimize and publish assets through content systems, maintain reusable design libraries, participate in sprint workflows, and present design rationale to stakeholders.
2 Days AgoSaved
Hybrid
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead the architecture, development, deployment, and monitoring of production-grade machine learning systems for high-definition, ADAS, ISA, and IVI maps. Lead work across computer vision, NLP, deep learning, Generative AI, Agentic AI, MLOps, data ingestion, model training, inference, and scalable cloud or in-vehicle deployment. Provide technical leadership, conduct architecture and code reviews, integrate ML outputs with mapping workflows, and translate business requirements into reliable ML system designs.