AI Data Scientist
AI Data Scientist
Requisitos
Your Experience and Skills:
Background in Data Science, Applied AI, Analytics Engineering, or Data Engineering.
Strong interest and commitment to working with emerging AI topics.
Solid understanding of data lake architectures and analytical data processing.
Familiarity with the Microsoft data and AI ecosystem.
Awareness of enterprise data governance and compliance requirements.
Curiosity, continuous learning mindset, and ability to translate new concepts into practical solutions.
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Your Responsibilities:
Design and implement context engineering and RAG strategies for LLM-based solutions.
Develop and optimize chunking approaches, embedding pipelines, and semantic retrieval models.
Build and maintain retrieval pipelines using frameworks such as LlamaIndex.
Design and operate enterprise data lakes using Microsoft Fabric / OneLake.
Prepare, curate, and enrich data for AI consumption, including unstructured enterprise content.
Ensure data governance, security, and Responsible AI compliance in collaboration with governance and security teams.
Support AI solutions for Microsoft Azure AI and Amazon AWS Bedrock.
Document best practices and support knowledge sharing within the AI and IT teams.
Why Westernacher?
- Inspiring and exciting, innovative working environment.
- Competitive remuneration package (salary, bonus, benefits).
- International company culture and minimal hierarchical structure.
- Chance to work on complex projects from different industries and add to your business process know-how.
- Flexible working hours and a hybrid working model.
Candidatura gestionada por Westernacher Consulting