MLOps Job Market Trends

A tool for monitoring and debugging language model applications, helping developers optimize performance and reliability.

A library designed for accelerated AI model inference utilizing advanced techniques for efficiency. It enhances large language models' performance on modern hardware architectures.

Deploys and integrates AI solutions directly with clients, working on-site to ensure successful implementation and customization.

A tool for managing and optimizing language model applications, providing insights and analytics for better performance.

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

A set of practices focused on the maintenance and optimization of large language models in production environments. It ensures that language models operate efficiently, with reliable performance and minimal downtime.

Designs and oversees the implementation of AI solutions, ensuring they meet business requirements and technical standards.

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 professional responsible for deploying, managing, and optimizing machine learning models in production environments. Ensures seamless integration of ML models with the infrastructure and CI/CD pipelines.