Middle ML Engineer

Навыки

• AI-агенты
• Решения на данных
• Docker
• FastAPI
• Git
• LLM
• Machine Learning

О компании и продукте

• We are building an AI-powered ecosystem for education that helps schools personalize learning and automate key processes. Our platform is built around modern AI technologies, including LLMs, multilingual NLP systems, and real-world data-driven ML solutions

Задачи

• Build and improve AI/ML features used in real production products
• Work with multilingual transformer models and classical ML approaches
• Design and maintain RAG pipelines, LLM-based systems, and agentic workflows (LangChain, LangGraph)
• Collect, clean, and improve datasets for production use cases
• Integrate ML models into backend services using FastAPI
• Work with REST APIs, WebSockets, PostgreSQL, and S3 storage
• Containerize and deploy services using Docker and Docker Compose
• Collaborate with backend engineers and product team members using Git workflows
• Improve model performance, latency, and cost efficiency in production systems
• For us it is important
• Experience with multilingual transformers, classical ML models, and real-world datasets
• Solid understanding of RAG systems and LLM-based applications
• Experience with LangChain, LangGraph, and agent-based systems
• Experience with FastAPI and backend integration of ML systems
• Understanding of REST APIs, WebSockets, PostgreSQL, and S3 storage
• Experience with Docker, Docker Compose, and Git
• Ability to work with production data and production ML systems
• Familiarity with vector databases, async Python, and cloud/monitoring basics
• TG: t.me/saduakaas
• Daily Jobs IT. современные вакансии
• Work format: Office-based
• Website: https://welcome.wonk.study/
• ℹ️ About us

Требования

• Strong Python skills and hands-on experience in Applied AI / ML

Условия

• Schedule: 5/2, 10:00–19:00
• Salary: 700k-900k

Паспорт вакансии

История публикации

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