Design, develop, optimize, and deploy computer vision and perception AI solutions across automotive cabin intelligence, smart surveillance, industrial IoT, and factory inspection applications. Develop end-to-end perception pipelines for object detection, tracking, segmentation, activity recognition, anomaly detection, and visual reasoning using state-of-the-art CNN and transformer-based architectures.

Key Responsibilities
Develop and optimize perception models for automotive, surveillance, industrial inspection, and edge AI applications.
Build AI solutions for factory automation, quality inspection, defect detection, worker safety monitoring, and process compliance.
Design and deploy multi-camera video analytics systems for smart surveillance and IoT use cases.
Train, fine-tune, and optimize deep learning models for edge and cloud deployment.
Collaborate with platform, embedded, and AI teams to deploy solutions on automotive SoCs, edge AI accelerators, and GPU platforms.

Required Technical Skills




Robust understanding of Computer Vision and Deep Learning fundamentals.
Hands-on experience with CNN-based architectures including:
YOLOv5, YOLOv7, YOLOv8, YOLOX
PP-YOLOE
EfficientDet
Faster R-CNN
Mask R-CNN
SSD
RetinaNet
Experience with image classification, object detection, semantic/instance segmentation, pose estimation, and multi-object tracking.
Experience with PyTorch, TensorFlow, ONNX, TensorRT, OpenVINO, or equivalent optimisation frameworks.
Familiarity with edge AI deployment on NVIDIA, Qualcomm, Intel, or similar platforms.
Knowledge of multimodal AI, Vision-Language Models (VLMs), and perception systems is a plus.

Preferred Domain Experience
Automotive Cabin AI and Occupant Monitoring
Smart Surveillance and Video Analytics
Factory Inspection and Industrial Automation
Smart Cities and Edge AI IoT Solutions
Retail Analytics and Operational Intelligence

📌 Vision & Perception Ai Engineer Pune (India)
🏢 Visteon
📍 India