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Senior Machine Learning Engineer
at HQ
Senior Machine Learning Engineer
HQ's logo

Senior Machine Learning Engineer

at HQ

Varsha Sinha's profile picture
Posted by Varsha Sinha
5 - 8 yrs
₹8L - ₹27L / yr
Remote only
Skills
Large Language Models (LLM) tuning
gpt
gemini
Retrieval Augmented Generation (RAG)
PDF
Natural Language Processing (NLP)
TensorFlow
PyTorch

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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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About HQ

Founded :
2019
Type :
Services
Size :
20-100
Stage :
Bootstrapped

About

N/A

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