AI Vision Engineer
1 day ago
Introduction
This position is responsible for designing, developing, fine-tuning, and optimizing deep learning models for quality inspection applications using 3D and wearable sensors. You will contribute to the development of advanced AI algorithms for sensing methodologies, object detection, recognition, segmentation, pose estimation, and human activity recognition across multiple modalities.
Key Responsibilities- Design, develop, and optimize deep learning models to process and analyze sensor data from various modalities for quality inspection
- Apply deep learning techniques for human activity recognition across video and other modalities
- Evaluate and calibrate various sensors to ensure accurate data collection for training
- Pre-process and prepare image and sensor data for effective model training
- Validate algorithm performance on real-world datasets
- Document technical reports, program codes, and set-up manuals
- Master's or Ph.D. degree in relevant engineering discipline with over 5 years of industry experience
- Familiarity with object detection, recognition, and segmentation frameworks
- Experience with human detection and human activity recognition models
- Experience with 3D sensor data from head-mounted cameras is a strong advantage
- Proficiency in data preprocessing and augmentation techniques
- Working knowledge of sensor methodologies
- Proven experience deploying deep learning models in real-world applications
- Patents, publications, specialist certifications, or awards in multimodal processing will be an added advantage
Onsite, West
Reg No: R22106435
Tell employers what skills you haveTensorFlow
Machine Learning
Image Processing
Convolutional neural network
Ability To Work Independently
Segmentation
OpenCV
Computer Vision
3D
Neural network
Quality Inspection
PyTorch
Python
Sensors
Publications
Linux
C++
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