Data Engineering Job Market Trends

A vector database that enables the storage, indexing, and querying of high-dimensional vector data, often used in machine learning applications.

A suite of tools and models for working with LLMs, offering capabilities for fine-tuning, querying, and managing large language models.

Refers to the hardware and software systems that support the development, deployment, and operation of artificial intelligence applications.

A company that provides data annotation services for machine learning models, specializing in image, text, and video datasets. Their platform enables organizations to efficiently and accurately label data for AI model training.

Develops and implements AI models and algorithms to solve complex problems and improve decision-making processes. Essential for advancing automation and technology-driven solutions in various industries.

A data architecture combining features of data lakes and data warehouses to support both analytical and transactional workloads. Allows for efficient multi-modal data processing and storage with unified governance.

AI Engineers develop and implement cutting-edge artificial intelligence systems, integrating machine learning and data processing techniques to address complex challenges.

An open-source columnar database management system designed for online analytical processing (OLAP) and real-time analytics.

Focused on the seamless transfer of data between different storage types and formats, Data Migration is crucial for maintaining data integrity and ensuring minimal operational downtime.