Machine Learning Job Market Trends

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Vibe Coding

150-300
Employers
Infinite
Growth

An approach to software development where developers use large language models (LLMs) to generate code from natural language prompts, shifting their role to guiding and refining AI-generated code.

LangGraph

900-1.8K
Employers
+41075%
Growth

A tool or library for visualizing and managing language model workflows, enhancing understanding and optimization.

Agentic

3K-6K
Employers
+22873%
Growth

Agentic refers to AI systems or agents that possess the ability to act autonomously, making decisions and performing tasks without direct human intervention. These systems are designed to achieve specific goals by leveraging machine learning and decision-making algorithms.

CrewAI

500-1K
Employers
+18380%
Growth

CrewAI is a Python framework designed for orchestrating role-playing, autonomous AI agents. It enables collaborative intelligence by allowing agents to work together seamlessly to tackle complex tasks.

AI Agent

3K-6K
Employers
+2103%
Growth

An autonomous entity that uses artificial intelligence to perform tasks, make decisions, and interact with environments or users.

Google Gemini

200-400
Employers
+1805%
Growth

An AI platform by Google designed to enhance machine learning workflows and model training.

Ollama

150-300
Employers
+1787%
Growth

Ollama is an open-source framework designed for serving large language models (LLMs) locally on on-premise devices. It supports multiple operating systems, including macOS, Linux, and Windows, and offers flexible interaction modes through a Command Line Interface (CLI), SDK, or API.

FAISS

800-1.6K
Employers
+1764%
Growth

An open-source library for efficient similarity search and clustering of dense vectors, primarily used in AI applications. Developed by Facebook AI Research, it offers state-of-the-art algorithms for scalable nearest neighbor search in large datasets.

vLLM

250-500
Employers
+1584%
Growth

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