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2 months ago
This is an exciting opportunity to join the Data & Analytics department at AXIS Insurance, a leading provider of specialty lines insurance and reinsurance. As an Azure AI Data Engineer, you will play a key role in designing and implementing advanced AI solutions on the Azure platform, enabling sophisticated data analysis and predictive modeling.
Key Responsibilities- Design, implement, and manage data pipelines to ingest data from on-prem sources into Azure Blob Storage, with a focus on supporting real-time processing.
- Establish connections to Azure Blob Storage to retrieve documents and initiate pre-processing tasks.
- Clean, transform, and store data in a format optimized for processing. Perform metadata tagging and maintain data consistency.
- Retrieval Augmented Generation (RAG) architecture: Design, implement, and optimize RAG-based AI systems to enhance our data processing and natural language understanding capabilities.
- Set up and manage the vector database for storing embeddings, ensuring accurate data insertion and optimizing query performance.
- Collaborate with data scientists to implement and manage processes for converting raw documents into embeddings.
- Configure and maintain Azure Blob Storage for secure and efficient data storage and transfer.
- Set up and oversee the Databricks environment for data processing and knowledge base preparation.
- Establish and manage a database to collect and store end-user feedback.
- Create and manage deployment pipelines using Azure Kubernetes Service (AKS) or Azure Container Instances (ACI) to ensure seamless application deployment and scaling.
- Develop and maintain service APIs using web-based frameworks to handle requests from custom built data applications, interacting with the vector database and large language models (LLMs).
We are looking for a skilled Data/AI Engineer with hands-on experience in Databricks and a deep understanding of data ingestion, processing, and infrastructure management. The ideal candidate will excel in setting up data pipelines, managing data storage solutions, and supporting machine learning workflows. You will be instrumental in transforming raw data into actionable insights and ensuring smooth integration and deployment of our data applications.
Requirements- Proven experience with Databricks, Azure Blob Storage, and managing data pipelines.
- Proficiency in setting up and optimizing vector databases and handling embeddings.
- Experience configuring Azure Blob Storage and managing Databricks environments.
- Expertise in creating deployment pipelines on Azure platforms and developing backend service APIs.
- Strong problem-solving abilities with a focus on optimizing performance and ensuring data integrity.
- Excellent communication skills and the ability to work effectively with data scientists and other team members.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Relevant certifications in Azure or Databricks are advantageous.
- Experience with Streamlit or similar tools: Ability to quickly prototype and deploy user-friendly web applications for data visualization and analytics.
- FastAPI or similar tools: Will be able to develop robust, scalable RESTful APIs to facilitate seamless data access and integration.