Data Science Job Market Trends

Assesses the performance and accuracy of AI models and systems, ensuring they meet desired standards and objectives.

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

Develops and implements AI solutions to solve real-world problems, focusing on practical applications and outcomes.

A fast DataFrame library for Python, designed for efficient data manipulation and analysis.

The field of study that deals with the moral implications and responsibilities of artificial intelligence. It focuses on ensuring AI systems are designed and used in ways that adhere to ethical standards and benefit society.

Responsible for developing and refining AI models by providing accurate and useful data annotations. Plays a key role in improving AI systems by ensuring their training data is relevant and well-structured.

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.

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

Determines the path and performance of projectiles, missiles, or space missions.