On-site ML Engineer in Murmansk to own the full lifecycle of an applied ML product that forecasts quantitative indicators from historical and textual work descriptions. Day-to-day work spans classical ML/NLP/LLM modeling in Python plus FastAPI backend, PostgreSQL, Docker, and integration with corporate systems.
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