Company: Jetlyn

☑️Tasks: -Develop and fine-tune NLP/LLM models: embeddings, generation, RAG approaches. -Research new architectures, set up experiments, conduct A/B tests. -Design and develop services based on language models: assistants, intelligent search, document and code generation. -Optimize inference and deploy models into production in collaboration with ML and backend teams. -Work with data: preprocessing, vectorization, organizational storage of knowledge bases. ** ☑️What's important:** -3+ years of commercial experience in NLP/LLM. -Deep mathematics: ML, statistics, probability theory. -Python + DS stack: pandas/polars, numpy, scipy, scikit-learn. -Practical experience with PyTorch, Transformers, sentence-transformers, LangChain / LangGraph / LlamaIndex. -Experience working with Qwen, DeepSeek, Llama, Mistral models; SFT, LoRA, QLoRA, prompt-tuning. -Skills in working with Docker, Kubernetes, CI/CD. -Ability to configure and optimize RAG pipelines. ** ☑️Will be a plus:** -Experience in fintech or corporate ecosystems. -Work with Hadoop (Hive, PySpark), Greenplum, PostgreSQL. -Understanding of LLM integration into business processes. -Experience working in cross-functional teams.

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