Teams at Zealogics LLC

Develop and deploy production-grade machine learning models, manage model lifecycles through MLOps practices, and support ML platforms and operations. The role requires strong Python, PyTorch, TensorFlow, Azure, software engineering, and coding expertise. Preferred experience includes generative AI, large language models, retrieval-augmented generation, vector databases, and semiconductor or manufacturing domains.

Develop and support a multi-terabyte inventory and position data platform for financial markets. Responsibilities include migrating KDB+ data to Snowflake, database engineering, data modeling, access controls, performance optimization, testing, platform upgrades, cloud-based data distribution, and stakeholder collaboration. The role also maintains existing KDB+ systems while contributing to a greenfield Snowflake architecture in an Agile environment.

Design and develop full stack applications, integrate AI models, manage APIs, optimize performance, and collaborate with AI/ML teams.