About the role
AI summarisedSR DATA SCIENTIST role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
IDMFull-timeSmart MFG/AI
Key Responsibilities
- Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including experience with RGB-D cameras and vision inspection systems for volume/density measurement and component verification.
- Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging frameworks like TensorFlow, PyTorch, and Keras.
- Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.
- Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (AWS, GCP), and sensor networks, applying rigorous outlier detection and missing data handling.
- Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools (Python, Spotfire, Power Automate).
Requirements
- Master's degree in Computer Science, Data Science or AI.
- Minimum 2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.
- Or Bachelor's degree in Computer Science, Data Science or AI.
- Minimum 3 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.
- Required Technical Experience Computer Vision: At least 2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV, YOLO, and RGB-D cameras.
- Deep Learning & AI: At least 2 years of working experience with deep learning frameworks (TensorFlow, PyTorch, Keras), including CNNs, LSTM, transformer models, and generative AI.