Search the 7 jobs at Ai Palette

As a Staff Software Engineer at Ai Palette, you will design and develop a custom web SaaS platform using AWS, React for the frontend, and Python with Django for the backend. You will integrate AWS services, improve existing features, mentor junior staff, and collaborate with Data Science and Data Engineering teams.

The Senior Manager Innovation will lead the product strategy and innovation for Ai Palette, focusing on FMCG and CPG markets. Responsibilities include leveraging product features to meet client objectives, providing data insights, collaborating with cross-functional teams, and developing training materials for sales professionals.

The Data Engineer will develop and manage data collection pipelines and ensure data quality while working with a distributed system. Responsibilities include building and scaling a data platform, implementing data quality checks, and collaborating with Data Science teams for AI model production.

The Content Marketing role involves optimizing website conversion rates, managing social media content and advertising, generating high-quality leads, executing account-based marketing strategies, and coordinating webinars and events, all aimed at enhancing brand visibility and engagement.

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.

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.