Daily Jobs IT KZ
@aitujobs
Daily Jobs IT. современные вакансии
🤖 Middle ML Engineer
📍Astana
📅 Schedule: 5/2, 10:00–19:00
🏙 Work format: Office-based
💰 Salary: 700k-900k
🔗 Website: https://welcome.wonk.study/
ℹ️ About us:
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.
🎯 What you will do:
🔹 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:
🔹 Strong Python skills and hands-on experience in Applied AI / ML
🔹 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
▶️ Contact:
#⃣ TG: @saduakaas
Daily Jobs IT. современные вакансии
🤖 Middle ML Engineer
📍Astana
📅 Schedule: 5/2, 10:00–19:00
🏙 Work format: Office-based
💰 Salary: 700k-900k
🔗 Website: https://welcome.wonk.study/
ℹ️ About us:
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.
🎯 What you will do:
🔹 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:
🔹 Strong Python skills and hands-on experience in Applied AI / ML
🔹 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
▶️ Contact:
#⃣ TG: @saduakaas
Daily Jobs IT. современные вакансии
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