Head Intelligent & Connected Product Technologies

Location : Pune

Experience : 15-20 years

Function : Product R&D / Technology

A leading engineering organisation is looking for a senior technology leader to develop AI-enabled and connected physical products.

This role is focused on embedding AI/ML into products and equipment. It is not related to manufacturing analytics, factory digitalisation or business-process automation.

Key Responsibilities :

- Define the roadmap for AI-enabled smart and connected products.

- Identify AI/ML applications for energy optimisation, intelligent control, fault detection and predictive maintenance.

- Lead the integration of AI models with sensors, controllers, firmware, edge platforms and cloud systems.

- Take AI-enabled product features from concept and POC to commercial deployment.

- Guide embedded software, IoT connectivity, device-to-cloud and MLOps architecture.

- Evaluate processors, AI accelerators, embedded platforms and technology partners.

- Build and lead teams across AI/ML, embedded systems, firmware and connected-product engineering.

Candidate Profile :

- 15-20 years of experience in product engineering, embedded systems, electronics, IoT or connected devices.

- Proven experience embedding AI/ML into a physical product.

- Experience launching at least one AI-enabled product or feature commercially.

- Strong understanding of embedded software, firmware, sensors, edge computing and device architecture.

- Exposure to RTOS or Embedded Linux and protocols such as MQTT, BLE and Wi-Fi.

- Experience leading multidisciplinary product-development teams.

Preferred Industry Background : Smart HVAC, appliances, building automation, smart meters, automotive electronics, medical devices, consumer electronics or IoT-enabled products.

Education : B.Tech/B.E Electronics/related

Application Requirements :

- Applicants should mention the physical product developed, AI-enabled functionality, embedded platform used and commercial deployment status.

- Profiles limited to manufacturing analytics, enterprise AI, dashboards or digital transformation may not be suitable.

Apply ASAP!