AI Foundry Chatbot Architect

7 dni temu

Al Jerozolimskie A Warszawa, Polska Link Group Pełny etat
Link Group

We are seeking a highly skilled Data Scientist to join our AI team and support clients in developing end-to-end chatbots powered by Large Language Models (LLMs) and Generative AI models. This role focuses on innovative applications of Generative AI, including knowledge extraction, in-context learning, summarization, translation with localization, and model fine-tuning.

The team consists of professionals with deep expertise in GenAI, Natural Language Processing (NLP), and Computer Vision, typically working in groups of 2 to 6 specialists, including Data Scientists, AI Engineers, Data Engineers, Technical Leaders, and Project Managers.

Key Responsibilities:

  • Developing and implementing end-to-end GenAI solutions that meet client requirements and expectations.
  • Providing expert advice on chatbot architecture and development, ensuring technical excellence and alignment with business goals.
  • Building chatbot components, including prompt engineering, conversation state management, vector stores, rerankers, validation rules, and context-providing mechanisms.
  • Supporting project delivery, managing full project lifecycles from business understanding and data preparation to model evaluation and deployment.
  • Analyzing results, deriving insights, and providing recommendations for improvement.
  • Delivering high-quality AI-driven solutions to clients, ensuring they meet their needs and expectations.

Requirements:

  • At least 5 years of experience in a similar role, preferably in the field of AI and machine learning.
  • Strong expertise in Azure Cloud, particularly AI Foundry, including Azure ML Prompt Flow, Azure AI Foundry, and Azure LLM provisioning.
  • Proficiency in deep learning and Generative AI frameworks such as NumPy, Keras, PyTorch, HuggingFace, and LangChain.
  • Experience with GenAI APIs (e.g., OpenAI, Gemini).
  • Fluency in Python, along with working knowledge of SQL and vector databases.
  • Understanding of deep learning concepts and methodologies.
  • Experience in Machine Learning, particularly in Generative AI (LLM/LMM) with a focus on NLP or multimodal models.
  • Ability to gather business requirements, create technical plans, process data, perform feature engineering, evaluate models, test hypotheses, and deploy solutions.

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