GenAI Intern

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  Assist in developing and testing Generative AI applications using Large Language Models (LLMs).
  
  

  
  


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  Work with AI models and APIs such as OpenAI, Gemini, or open-source models.
  
  

  
  


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  Support prompt engineering, prompt optimization, and AI response evaluation.
  
  

  
  


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  Assist in building AI-powered chatbots, virtual assistants, and automation tools.
  
  

  
  


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  Work on Retrieval-Augmented Generation (RAG) applications.
  
  

  
  


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  Support document processing, text generation, summarization, and semantic search projects.
  
  

  
  


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  Assist in integrating LLM APIs with Python-based applications.
  
  

  
  


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  Work with frameworks such as LangChain, LlamaIndex, or Hugging Face.
  
  

  
  


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  Perform data preprocessing, cleaning, and preparation for AI applications.
  
  

  
  


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  Test and evaluate AI model responses for accuracy, relevance, and reliability.
  
  

  
  


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  Collaborate with AI/ML engineers and developers on ongoing projects.
  
  

  
  


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  Maintain technical documentation and project reports.
  
  

  
  


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  Stay updated with emerging trends and technologies in Generative AI.
  
  

  
  

Requirements

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  Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
  
  

  
  


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  Basic knowledge of Python programming.
  
  

  
  


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  Understanding of Machine Learning, Deep Learning, and NLP fundamentals.
  
  

  
  


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  Familiarity with Generative AI concepts and Large Language Models (LLMs).
  
  

  
  


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  Basic understanding of prompt engineering.
  
  

  
  


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  Knowledge of REST APIs and JSON.
  
  

  
  


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  Familiarity with Python libraries such as Pandas, NumPy, and Scikit-learn.
  
  

  
  


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  Basic knowledge of Git and GitHub.
  
  

  
  


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  Good analytical, problem-solving, and communication skills.
  
  

  
  


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  Willingness to learn new AI tools and technologies.