Leading Edge AI Innovator

2 days ago

Bengaluru, Karnataka, India beBeeEdgeAI Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Edge AI Principal

As a pioneering figure in Edge AI, you will be responsible for creating and deploying cutting-edge IoT solutions that integrate AI capabilities directly into edge devices. Your expertise will enhance real-time data processing, reduce latency, and enable efficient decision-making.

The role requires architecting large-scale, distributed Edge AI systems for real-time inference across thousands of devices. You will lead hardware-aware model development optimized for deployment on platforms like NVIDIA Jetson, Qualcomm Snapdragon, Intel Movidius, and ARM Cortex-A/NPU chips.

You will design pipelines for edge inferencing with low-latency, low-power, and high-accuracy constraints. Additionally, you will lead performance tuning using tools like TensorRT, ONNX Runtime, TVM, and OpenVINO.

A key responsibility will be building scalable, secure model deployment platforms using NVIDIA Triton, Edge Kubernetes (K3s), and MLOps frameworks.

You will also integrate AI with real-world data sources: video streams, sensor fusion (IMU, LiDAR), audio, etc. Collaboration with firmware, hardware, and platform teams is essential for system-level optimization.

To succeed in this position, you will define strategies for OTA model updates, fleet-wide monitoring, and privacy-preserving AI. Staying ahead of emerging trends in tinyML, neural architecture search (NAS), zero-shot inference, and federated learning is crucial.

This is an exciting opportunity to work at the forefront of Edge AI innovation. Your contributions will shape the future of smart, real-time, and scalable solutions at the edge.

Key Qualifications:

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