Junior+ / Middle Data Scientist

Requirements: Junior+: development of individual components, creation of prototypes and integrations with team support. Middle: independent management of functional blocks from idea to production implementation. Python: from 1.5 years of commercial experience. AI / LLM: basic understanding of language model operation. Development: creation of prototypes, APIs, and services. Soft skills: autonomy in conditions of uncertainty, fast learning ability. Will be an advantage (Pros) AI stack: LangChain, LangGraph, MCP, vector databases (Vector DB). Data Science: classic ML (sklearn, XGBoost), Deep Learning. Backend: asynchronous REST APIs, databases, queues, CI/CD. Tools: VSCode/Jupyter extensions, MLOps (Kubernetes, MLflow).