AI-помощник: сопроводительное письмо, адаптация резюме, тренировка собеседованияПерейти ↓
Описание вакансии
Обязанности
•Apply prompt learning and continuous iteration
•Build RAG pipelines
•Build eval pipelines to measure model and prompt changes
•Configure and analyze LLM metrics with eval frameworks
•Create agentic workflows and orchestration
•Create massive data pipelines for training datasets
•Define system components and contracts with spec driven development
•Deploy computer vision and NLP models to production
•Design low-latency inference solutions
•Develop data pipelines for training and evaluation
•Fine-tune foundation models
•Implement LLM and VLM lifecycle from exploration to context engineering
•Mitigate regressions and hallucinations
•Optimize model throughput and resource usage
Условия
•Hybrid work
Технологии: BigQuery, CI/CD, Clean architecture, Computer Vision, Context engineering, Fine Tuning, Huggingface, Langchain, Langgraph, Language Models, Language Processing, Large Language Models, Llama.cpp, Machine Learning, Natural Language, Natural Language Processing, ONNX, Prompt Learning, Prompt engineering, PyTorch, Python, QLoRA, RAG, SQL, Testing, VLLM
