Data Science and AI Engineer Position
7 days ago
About the Role:
We are seeking a skilled Data Engineer to join our HQ team based in our main office. The ideal candidate will have a strong background in data science and machine learning techniques, with extensive experience in extracting information from unstructured data sources, particularly PDFs.
Key Responsibilities:
- Apply advanced data science and machine learning methods to extract valuable insights from diverse datasets.
- Design and implement Large Language Models (LLMs) such as GPT and Gemini for optimal performance.
- Build Retrieval-Augmented Generation (RAG) systems for processing large volumes of unstructured data.
- Work with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques for efficient data extraction.
- Extract information from PDFs using tools like PDFMiner, PyMuPDF, or PDFPlumber, and OCR tools for accurate results.
Requirements:
- 3+ years of experience in data engineering concepts and practices, including data analysis and modeling.
- Strong proficiency in data science and machine learning techniques, including deep learning and natural language processing.
- Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini, and their applications in text generation and reasoning.
- Practical experience in building Retrieval-Augmented Generation (RAG) systems for real-world problems.
- Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors, and extracting valuable insights.
Preferred Qualifications:
- Bachelor's/Master's/PhD in Computer Science, Data Science, Machine Learning, or related fields, with a strong academic record.
Compensation: $120,000 - $180,000 per year, commensurate with experience and qualifications.
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