We are looking for a Lead AI Engineer to drive the research and deployment of next-generation perception and generative AI systems that power our autonomous construction robots. You will own the full lifecycle — from model architecture and large-scale data pipelines to edge deployment on real hardware — working at the intersection of cutting-edge AI research and production robotics.
Must-Haves
8 years in deep learning R&D;, or a PhD/MS in CS/EE/Robotics with a solid publication record
Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and Vision-Language Models (CLIP, BLIP-2, LLaVA)
Proven experience building large-scale data pipelines — active learning, pseudo-labeling, synthetic data generation
Advanced proficiency in Python, PyTorch/JAX, and scalable training frameworks (DeepSpeed, Ray, PyTorch Lightning)
Edge AI deployment experience — TensorRT, ONNX Runtime, CUDA/C optimization on Jetson-class devices
What You'll Do
Lead research and development of diffusion and vision-language models tailored to construction robotics use cases
Architect and scale data pipelines for active learning, pseudo-labeling, and synthetic data generation
Own model training at scale using distributed frameworks and drive optimization for real-time, on-device inference
Deploy and optimize models on edge hardware (Jetson-class devices) for production robots operating on live sites
Collaborate closely with robotics, perception, and hardware teams to ship AI capabilities into deployed systems
Mentor and guide engineers, setting technical direction for the AI team
Pay: ₹4,000,000.00 - ₹6,000,000.00 per year
Work Location: In person
📌 Lead Ai Engineer Bangalore Rural
🏢 HR Consultant
📍 Bangalore Rural
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