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Generative AI / Machine Learning Engineer

Джерело:
djinni.co
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Що робити

  • Design, train, and deploy classical ML and deep learning models (PyTorch, TensorFlow/Keras, scikit-learn) for tasks such as time series analysis, anomaly detection, forecasting, and optimization.
  • Build production LLM applications: RAG pipelines, embeddings, semantic search, document processing, and chunking strategies.
  • Develop AI agents and multi-step workflows using LangChain, LangGraph, and MCP (Model Context Protocol).
  • Apply prompt engineering best practices to improve reliability and output quality of LLM-based systems.
  • Deploy and serve models using Docker, Kubernetes, and FastAPI/Flask.

Що пропонуємо

  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team;
  • Stay Ahead of the Curve. Work with cutting-edge technologies;
  • Possibility to influence on processes;
  • Paid 16 vacations and 14 sick leaves per year;
  • Flexible working hours;

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