WaveAccess is looking for a senior Data Scientist to join our team and contribute to innovative projects. This role involves working with classical tabular data and Large Language Models (LLMs) to drive impactful insights and solutions for clients all over the world.

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

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

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