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Senior Data Scientist LLM

В архиве c 2 апреля 2025
Тбилиси Удаленно
279 000 - 388 000 ₽

Responsibilities:

  • LLM Integration: Develop, fine-tune, and implement Large Language Models to analyze and process diverse sets of text and data.
  • Data Analysis: Perform advanced data analysis on real-world datasets to extract meaningful insights and support decision-making processes.
  • Text Mining and NLP: Utilize natural language processing techniques to extract relevant information from large volumes of text.
  • Model Development: Build and validate predictive models to address key challenges in various domains.
  • Innovation: Stay up-to-date with the latest advancements in LLMs and NLP, and apply innovative approaches to solve complex problems.
  • Participation in presales as a technical expert in the data science field

Requirements:

  • At least 5 years of experience in a Data Scientist position
  • English - strong B2, comfortable with communicating to native speakers
  • Deep knowledge of Neural Networks and architectures for working with sequences, in particular (RNN, LSTM, Transformers, CNN, attention)
  • Experience with Large Language Models (LLMs) and their application. Familiarity with modern LLM techniques such as Retrieval-Augmented Generation (RAG) and LLM agents
  • Solid Python skills
  • Experience in presenting achieved results
  • Experience in MLOps

Technologies:

  • Python
  • Transformers
  • LLM + RAG
  • Standard NLP stack
  • Standard ML stack
  • Basic SQL
  • Git
  • Vector databases (Postgres + pgvector / Milvus / Qdrant / Faiss)

Preferred:

  • Knowledge of general Machine Learning approaches
  • Knowledge of mathematical statistics
  • Experience with AWS (EC2, S3)
  • Linux + bash, ssh
  • Experience in written and verbal communication with business stakeholders
  • Experience with full development cycle

Nice to have:

  • RestAPI development experience
  • Snowflake
  • Docker
  • Understanding of CI/CD
  • Java/C++/Other languages

We offer the following conditions:

  • Work in a dynamic international team
  • Opportunity for collaboration through individual entrepreneurship/self-employment for colleagues outside of Russia
  • Partcipation in foreign and Russian projects
  • Health insurance with dental coverage
  • Necessary equipment for work
  • Corporate training programs
  • Wide opportunities for self-realization, professional and career growth
  • Democratic approach to processes and flexible start of the workday
  • Option to relocate between our overseas offices.
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