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Data Scientist - Conversational AI and Agentic Workflows
Data

Data Scientist - Conversational AI and Agentic Workflows

Warszawa
Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote
Link Group

Link Group

Hundreds of IT opportunities are waiting for you—let’s make it happen! Since 2016, our team of tech enthusiasts has been building exceptional IT teams for Fortune 500 companies and startups worldwide. Join impactful projects in BFSI, CPG, Industrial, and Life Sciences & Healthcare industries. Work with cutting-edge technologies like Cloud, Business Intelligence, Data, and SAP. Unlock your potential, grow your skills, and collaborate with top global clients. Ready for your next big career move? Let’s link with us!

Tech stack

    Python

    advanced

    LLM

    regular

Job description

Online interview

Job Overview:

We are seeking an agile and skilled Data Scientist to join a high-velocity project team. The ideal candidate will help build advanced agentic workflows, utilizing 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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