| Data Scientist (GenAI Engineer ) - San Francisco, CA (Onsite) - Local at San Francisco, California, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2299299&uid= From: Sneha Sangnale, GAC Solution [email protected] Reply to: [email protected] Hi This is Sneha from GAC Solution. I have an excellent job opportunity with one of our premier clients. Since it is an urgent requirement your prompt response is appreciated. The following is a brief job description for your reference. Job Title: Data Scientist Working Location: San Francisco, CA (Onsite) Project Duration: Contract We are seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks. In this role, you will be responsible for developing a comprehensive framework that focuses on data ingestion processes (vector databases and text-to-SQL). This framework will ensure seamless integration and accessibility of data, which will be consumed by an LLM-based chatbot to optimize and enhance semiconductor manufacturing processes. Requirements : Approximately 8 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 and technologies. Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment. Strong communication skills to effectively convey technical concepts to non-technical stakeholders. Experience in developing and deploying scalable ML models in production environments. Bachelors degree in Computer Science, Data Science, or a related field. Masters degree in Data Science or a related field is preferred. Key Responsibilities: 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. Thank You, Best Regards Sneha Sangnale Technical Recruiter E: [email protected] www.gacsol.com Experts in Digitalization and Engineering - Enterprise 4.0 Keywords: artificial intelligence machine learning information technology California Data Scientist (GenAI Engineer ) - San Francisco, CA (Onsite) - Local [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2299299&uid= |
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| 04:07 AM 29-Mar-25 |