Vision & Perception AI Engineer
Visteon Corporation2 days ago
Pune, India +2 moreMid Level
Responsibilities
- Develop and optimize computer vision and 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.
Requirements
- Strong 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, and RetinaNet.
- Experience with image classification, object detection, semantic and instance segmentation, pose estimation, and multi-object tracking.
- Experience with PyTorch, TensorFlow, ONNX, TensorRT, OpenVINO, or equivalent optimization frameworks.
- Familiarity with edge AI deployment on NVIDIA, Qualcomm, Intel, or similar platforms.
- Knowledge of multimodal AI, Vision-Language Models, and perception systems is a plus.
- Preferred domain experience includes 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.
Tech Stack
PyTorchTensorFlow