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The Principal Data Scientist will lead the development and optimization of deep learning models and AI solutions for food companies, utilizing advanced neural network architectures and integrating diverse data sources. Responsibilities include MLOps practices, GPU programming, and expertise in NLP, aiming to enhance product innovation through data-driven insights.

The Lead Data Engineer will guide a team of data engineers in creating and optimizing data processes for a large consumer data lake. Responsibilities include designing data pipelines, ensuring data quality, collaborating with cross-functional teams, and implementing data engineering best practices.

The Sr. Data Scientist at Ai Palette will work on NLP techniques, generative AI models, design neural networks for image recognition and NLP, build optimization models and recommendation engines, and implement graph-based models. The role focuses on leveraging AI to meet consumer needs in the food industry.