Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
The compulsory medical insurance system operator ensures the provision of medical care to the population.
задачи
Develop and adapt open-source LLMs for the Foundation’s internal tasks
Fine-tune, instruction-tune, and assess the quality of language models
Develop RAG services, AI assistants, and intelligent search for internal documents
Design prompt strategies, response quality assessment tools, and safeguards against incorrect answers
Integrate AI services with internal systems via API
Participate in shaping the architecture of a unified AI platform
требования
3+ Years of experience developing AI/LLM solutions
Proficiency in Python and experience with PyTorch, Transformers, and Hugging Face
Practical experience fine-tuning LLMs with LoRA, QLoRA, PEFT, and SFT
Experience developing RAG, including embeddings, vector DB, reranking, chunking, retrieval evaluation, and response quality
Knowledge of LangChain, LlamaIndex, or similar frameworks
Experience with API, Docker, Git, Linux, and GPU infrastructure
Understanding of LLM limitations, including hallucinations, context window, security, and quality control
Будет плюсом: experience with Russian or Kazakh language models, experience in closed environments or governmental, financial, or medical organizations, knowledge of vLLM, Ollama, Qdrant, OpenSearch, or MLflow, experience building AI agents and multi-agent scenarios
условия
Gross salary of 1,500,000 to 2,000,000 KZT per month