AI Engineer

🕒 Maio 15

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Huzzle.com, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Maio 15

Ainda aberta no site da Huzzle.com. Verificada 2 dias atrás.

Logo of Huzzle.com

Huzzle.com

51 - 200 funcionários

🎯 Recrutamento

👥 RH Tech

☁️ SaaS

💰 $1.780.791 Pre Seed Round - Huzzle em 2024-04

Recruitment • HR Tech • SaaS

A Huzzle é uma plataforma de Early Careers que conecta estudantes, sociedades estudantis e empregadores. Começando como um CRM para sociedades estudantis pré-profissionais, a Huzzle evoluiu para a plataforma de carreira universitária utilizada por mais de 100.000 talentos no Reino Unido.

Descrição

• Design, build, and deploy AI/ML models for real-world applications. • Develop and optimize AI-powered features using modern frameworks and APIs. • Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. • Build AI pipelines for data processing, training, inference, and monitoring. • Collaborate with cross-functional teams to translate business needs into AI solutions. • Integrate AI services into web applications, SaaS platforms, and internal tools. • Fine-tune and evaluate machine learning models for performance and scalability. • Maintain documentation and ensure AI systems follow security and compliance best practices. • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

🎯 Requisitos

• 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. • Strong experience with **Python** and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain. • Experience working with **LLMs, generative AI, prompt engineering, or AI agents**. • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). • Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. • Understanding of APIs, microservices, and backend development. • Experience with Docker, Git, and CI/CD workflows. • Strong analytical and problem-solving skills. • Excellent communication skills and ability to work remotely with global teams. • Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred. • Experience with AI automation tools and agent frameworks. • Knowledge of MLOps and model monitoring tools. • Familiarity with NLP, computer vision, or recommendation systems. • Experience building AI SaaS products or chatbots. • Exposure to FastAPI, Node.js, or React-based applications.

🏖️ Benefícios

• 💰 Competitive salary based on experience and location • 🌎 Fully remote role with flexible work environment • 🚀 Work on cutting-edge AI automation projects with real business impact • 📈 Strong growth opportunity into senior AI / systems roles • 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design • 🤝 Direct collaboration with a fast-moving, high-performance team

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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