As a core member of the AI Research team you'll turn cutting-edge, vision-language and diffusion advances into robust real-time systems that see reason and act on dynamic construction sites.

Key Responsibilities
Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis and domain adaptation.
Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans and sensor data to pixel-level understanding.
Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort.
Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2.
Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation and production hand-off to perception & controls teams.
Publish internal tech reports and external conference papers; mentor interns and junior engineers.

Qualifications & Skills
8+ years in deep-learning R&D; or Ph.D./M.S. in CS, EE, Robotics or related field with solid publication record.
Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet)



and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo).
Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision.
Advanced proficiency in Python, PyTorch (or JAX), experiment tracking and scalable training (PyTorch Lightning, DeepSpeed, Ray).
Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning.
Solid mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code.
Bonus: experience with synthetic data generation in Isaac Sim or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D).

Why join us?
Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast.
Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support.
Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots.
Market-competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration.

📌 Lead Ai Engineer Bengaluru
🏢 Important Group
📍 Bengaluru