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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Requirements:
- Must have 5+ years of experience
- Strong proficiency in data engineering concepts and practices.
- Extensive experience in applying data science and machine learning techniques.
- Working knowledge of extracting information from unstructured data sources, particularly PDFs.
- Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini.
- Knowledge of prompt engineering and fine-tuning techniques.
- Practical experience in building Retrieval-Augmented Generation (RAG) systems.
- Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors.
- Proven experience in extracting valuable insights from diverse data sets.
- Familiarity with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques.
- Working knowledge of PDF to text extraction tools like PDFMiner, PyMuPDF, or PDFPlumber, OCR tools.
- Skilled in machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI models.
Good to have:
Working knowledge of Python and libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.
Preferred Qualifications:
BE/MS/PhD in Computer Science, Data Science, Machine Learning, or related fields.
Note: We are looking for passionate candidates who can join immediately.
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