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Best 9 Tools for Machine Learning Engineers in 2025

The Machine Learning Engineer designs and implements machine learning systems and algorithms. They work with data scientists, build ML pipelines, deploy models to production, and optimize performance while ensuring scalability and reliability of AI-powered applications.

9 active tools
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Mage

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Mage AI is a comprehensive data pipeline orchestration platform designed to simplify how teams build, deploy, and manage data workflows. Think of it as a smart workspace that combines notebook-style development with powerful automation features.

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Roboflow

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Roboflow is a complete computer vision development platform that makes building AI models simple and fast. Think of it as the missing piece that connects your images to working AI applications. The platform handles every step of the computer vision pipeline, from organizing your data to deploying models that can recognize objects, detect defects, or analyze scenes in real-time.

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DevRev

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DevRev is an AI-powered platform that combines customer support and software development into one unified system. Think of it as the bridge that connects what customers need with what developers build. The platform uses advanced AI technology called AgentOS, which includes a knowledge graph that understands relationships between customers, products, and development work.

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Browser Use

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Browser Use is an AI-powered browser automation framework designed to make websites accessible for artificial intelligence agents. Think of it as giving AI the ability to see and interact with web pages just like a human would, but much faster and more accurately.

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Helicone AI

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Helicone AI is an open-source observability platform designed specifically for developers working with Large Language Models. Think of it as your AI application's dashboard that shows you everything happening under the hood.

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Inngest

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Inngest is an event-driven durable execution platform built to run reliable, multi-step workflows on any platform without managing infrastructure. Think of it as a mix between traditional queues and modern serverless functions, but much better.

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Deepgram

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Deepgram is a comprehensive voice AI platform that provides three main services through easy-to-use APIs. First, it offers Speech-to-Text that converts spoken words into written text with over 90% accuracy, even in noisy environments or with heavy accents. Second, it provides Text-to-Speech that creates natural-sounding voices for apps and voice assistants. Third, it offers Voice Agent APIs that let developers build complete conversational AI systems.

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Fal AI

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Fal AI is a serverless generative media platform designed specifically for developers who want to build next-generation creative applications. Think of it as the fastest way to add AI-powered image, video, and audio generation to your apps without dealing with complex infrastructure.

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Cursor

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Cursor is an AI-powered integrated development environment (IDE) that combines the familiar interface of Visual Studio Code with advanced artificial intelligence capabilities. Think of it as your regular code editor supercharged with a smart AI assistant that understands your entire project.