Principal Data Scientist - Deep Learning

📋 Description

• Define and drive the technical strategy for Jampp's deep learning and embedding-based modeling
• Design, develop and iterate advanced DNN architectures for prediction and optimization, initially
• Define the architecture and strategy for learning rich representations of high-cardinality entities
• Lead the design of reusable embedding and representation-learning approaches that can support
• Identify opportunities to improve the performance, scalability and generalization of our machine
• Develop modeling approaches for real-time prediction and decision-making in programmatic

🎯 Requirements

• Significant experience in Data Science, Machine Learning, Deep Learning or a closely related
• Strong academic background in Computer Science, Applied Mathematics, Physics, Statistics
• Deep understanding of machine learning and deep learning fundamentals, including neural network
• Extensive hands-on experience developing and deploying Deep Learning models in production
• Strong experience with Python and the scientific/machine learning Python ecosystem.
• Experience working with large-scale datasets and high-cardinality categorical or ID-based features.