- Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications.

- Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access

- Process and prepare data to support RAG workflows, ensuring data quality and relevance.

- Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities.

- Work closely with cross-functional teams to integrate data into our existing retrieval eco-

system, ensuring seamless functionality and performance.

- Ensure the scalability, reliability, and performance of data retrieval in production environments.

- Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge.

What were looking for :

- Approximately 6 years of experience in Data Science, MLOps, and Data Engineering

- Proven experience in AI and ML solution implementation, particularly in semiconductor

manufacturing.

- Proficiency in Python

- Proven experience in data engineering and software development, with a focus on building and deploying RAG pipelines or similar information retrieval systems.

- Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation

tasks.

- Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions.

- Proficiency in Azure AI, Databricks, and other relevant tools.