Data Scientist

1 dzień temu

Poznań, Greater Poland Link Group Pełny etat
Job Overview:

We are seeking a highly skilled and agile Data Scientist to join our high-velocity project team. The ideal candidate will help build advanced agentic workflows, utilizing Large Language Models (LLMs) as part of an innovative Retrieval-Augmented Generation (RAG) approach. This position offers the opportunity to work on groundbreaking technologies that enhance AI-driven solutions.

Key Responsibilities:
  • Agentic Framework Development: Build and enhance an agentic framework that enables conversational AI to intelligently select and utilize tools and APIs through advanced reasoning.
  • Information Retrieval Orchestration: Leverage orchestration frameworks such as Llama Index, LangChain, or similar to implement and manage Retrieval-Augmented Generation (RAG) techniques.
  • Experimentation and Analysis: Conduct experiments to improve the agentic architecture and optimize RAG strategies. Analyze experimental results to enhance the accuracy, reliability, and performance of conversational AI models.
Technical Expertise:
  • Programming Skills: Strong proficiency in Python. Experience with LLM Ops libraries such as LangChain, LlamaIndex, or similar tools is preferred. Alternatively, familiarity with machine learning libraries like Scikit-learn, Pandas, etc., is required.
  • LLM and LLM Ops Knowledge: Strong understanding of Large Language Models and their applications, including experience with LLM operations, fine-tuning, and deployment.
  • Tool Proficiency: Hands-on experience with tools like Llama Index and LangChain is preferred. Solid knowledge of Retrieval-Augmented Generation (RAG) techniques and their implementation.
Preferred Qualifications:
  • Conversational AI Experience: Prior experience developing conversational AI applications or chatbots.
  • Cloud Platform Expertise: Experience working with cloud platforms, preferably AWS. Familiarity with Azure or Google Cloud Platform (GCP) is a plus.
Desired Attributes:
  • Agility and Quick Learning: Ability to quickly grasp and apply new technologies in a dynamic environment.
  • Problem-Solving Skills: Strong analytical and reasoning skills for tackling complex technical challenges.
  • Collaborative Mindset: Excellent communication skills and a team-oriented approach to drive collective success.

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