Join an inclusive team passionate about innovation for customers and partners. Employ techniques and theories from mathematics, statistics, and information technology to uncover patterns in data for predictive models and actionable insights.
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.
- Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection.
- Develop and deploy deep learning models for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis.
- 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.
- 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).
Benefits
- Competitive salary
- Benefits package
- Opportunities for career growth and professional development
- Collaborative and inclusive work environment