About the role
AI summarisedJoin Micron Technology to apply advanced techniques from mathematics, statistics, and computer science to uncover patterns in complex data. This role involves developing predictive models and actionable insights by interacting with cross-functional teams to drive innovation in manufacturing and environmental monitoring challenges.
IDMOnsiteSmart MFG/AI
Key Responsibilities
- Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection using RGB-D cameras.
- Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for image classification, time-series anomaly detection, and multimodal sentiment analysis.
- Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion to solve manufacturing and environmental monitoring challenges.
- Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (AWS, GCP), and sensor networks.
- Lead cross-functional collaboration with engineering, operations, and quality teams on data science projects.
- Coordinate production deployment activities using MLOps best practices, including model monitoring and data drift detection.
- Communicate complex technical concepts and project outcomes effectively to both technical and non-technical stakeholders.
Requirements
- Ph.D. or 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 (if Master's/PhD).
- Bachelor’s degree in Computer Science, Data Science, or AI with a minimum of 3 years of relevant industry experience (alternative path).
- At least 2 years of working experience in designing and deploying computer vision models for industrial applications (object detection, image segmentation).
- At least 2 years of working experience with deep learning frameworks (TensorFlow, PyTorch, Keras) including CNNs, LSTM, and transformer models.
- Proven ability to work with multimodal datasets (text, image, time-series) including sentiment analysis and data fusion.