
Chief Data Architect
1 week ago
This is a highly skilled position where you will be working with cutting-edge technologies to reimagine operating models, enhance competitiveness, optimize costs, and foster exceptional stakeholder experiences.
- Key Responsibilities:
- Develop, deploy, and maintain Retrieval Augmented Generation (RAG) models in Amazon Bedrock.
- Design and implement RAG models that can generate natural language responses, commands, and actions based on user queries and context.
- Integrate the RAG model with Amazon Bedrock, our platform that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API.
- Optimize the RAG model for performance, scalability, and reliability using best practices and robust engineering methodologies.
About the Ideal Candidate:
- Technical Skills:
- Programming experience with at least one software language, such as Java, Python, or C/C++.
- Experience in working with generative AI tools, models, and frameworks, such as Anthropic, OpenAI, Hugging Face, TensorFlow, PyTorch, or Jupyter.
- Experience in working with RAG models or similar architectures, such as RAG, Ragna, or Pinecone.
- Experience in working with Amazon Bedrock or similar platforms, such as AWS Lambda, Amazon SageMaker, or Amazon Comprehend.
Benefits and Work Environment:
- Achieve a Great Balance:
- Flexible work arrangements, free spirit, and emotional positivity.
- Agile self-determination, trust, transparency, and open collaboration.
- All support needed for the realization of business goals.
- Stable employment with a great atmosphere and ethical corporate culture.
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