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About the role
Department Customer Solutions Job posted on Feb 05, 2025 Employment type Full-Time Educational Qualification: Education: Masters or PhD in Computer Science, Machine Learning, AI, Engineering. Work Experience: 4-6 years of experience in ML-based data product R&D; with a relevant background in Computer Science, Engineering, or Machine Learning. Role Description: As a key contributor to Pixxels analytics vision, you will: - Leverage state-of-the-art AI techniques to address complex challenges in imaging analytics, data fusion, and large-scale data processing. - Develop multimodal AI models that integrate hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, enabling actionable insights for clients across diverse industries. - Work closely with cross-functional teams, translating business and scientific objectives into AI-powered solutions that are scalable, efficient, and impactful. Responsibilities & Duties: - AI Model Development: Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxels hyperspectral data and multimodal datasets. - Multimodal Data Fusion: Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability. - Algorithm Optimization: Develop computationally effective algorithms that can handle large-scale, high-dimensional datasets and deploy them in production environments. - R&D; Leadership: Research and implement state-of-the-art techniques, including Transformer models, GANs, self-supervised learning, and other emerging techniques, to stay ahead in AI innovation. - Cross-Functional Collaboration: Work with domain experts (e.g., hyperspectral scientists, environmental specialists) to understand the data and define project objectives, translating business problems into robust AI models. - Communication & Presentation: Clearly explain complex AI concepts, model .
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