Senior AI Vision Engineer

2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. This position is responsible for designing, developing, fine-tuning, and optimizing deep learning models for quality inspection applications using 3D and wearable sensors. The role involves creating advanced AI algorithms for sensing methodologies, object detection, recognition, segmentation, pose estimation, and human activity recognition across multiple modalities, including images, videos, and 3D/wearable sensor data. Key Responsibilities Develop and optimize deep learning models (e.g., CNNs, transformers) for processing sensor data across various modalities (e.g., vision, depth) in quality inspection applications. Apply deep learning techniques for 2D/3D object detection, recognition, segmentation, pose estimation, and human activity recognition from multimodal data. Evaluate and calibrate diverse sensors to ensure accurate data collection for training purposes. Pre-process and prepare image, video, and sensor data, including data cleaning and augmentation, to enhance model training. Validate the performance of implemented algorithms using real-world datasets, such as car part inspections. Document technical reports, program codes, and setup manuals for knowledge sharing and reproducibility. Required Qualifications Master’s or Ph.D. in Electrical, Mechanical, Computer Engineering, or a related field, with over five years of industry experience. Proven experience in developing and deploying deep learning models in real-world applications. Strong understanding of object detection, recognition, and segmentation frameworks (e.g., YOLO, Faster R-CNN, Mask2Former). Hands-on experience with human detection and human activity recognition models (e.g., I3D, C3D). Familiarity with 3D sensor data from head-mounted cameras is highly advantageous. Proficiency in data preprocessing and augmentation techniques for images, videos, 3D point clouds, and wearable sensor data. Solid knowledge of sensor methodologies, including data analysis, noise reduction, feature engineering, sensor calibration, and optimization strategies. Any patents, publications, specialist certifications, or awards in multimodal processing are considered advantageous. Interested candidates, who wish to apply for the advertised position, please email us an updated copy of your resume. We regret that only shortlisted candidates will be notified. EA License No.: 01C4394 By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology and Research Industries Technology, Information and Media and Robotics Engineering Referrals increase your chances of interviewing at PERSOLKELLY by 2x Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Information Technology - Data & Analytics Engineer Internship, Technology (ML/Data Engineer) May/June - December 2025 Queenstown, Central Singapore Community Development Council, Singapore 3 months ago Associate AI Developer/ AI Developer (Full stack) - Artificial Intelligence, SAP Labs Singapore Machine Learning engineer - TikTok Search (Singapore) Artificial Intelligence (AI) Engineer Intern [IDA: 2025-00027] AI Solutions Engineer Internship (4-6 Months) Applied AI Engineer, Applied Science - EMEA, Singapore We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. J-18808-Ljbffr

Location: Singapore, SG

Posted Date: 5/9/2025