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Generative AI Intern
MHTECHIN
posted 17hr ago
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Flexible timing
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Job Description
We are looking for a Generative AI Intern to join our AI/ML team and contribute to the development of cutting-edge Generative AI models . This internship provides hands-on experience in working with Large Language Models (LLMs), Image Generation Models, NLP, and AI-driven automation .
Key Responsibilities
- Research and implement Generative AI models such as GPT, BERT, Stable Diffusion, and DALL E.
- Fine-tune existing Large Language Models (LLMs) for specific use cases.
- Develop and optimize text, image, and audio generation models .
- Work with frameworks like Hugging Face, TensorFlow, PyTorch, and LangChain .
- Process and clean large datasets for training and evaluation.
- Experiment with AI-driven chatbots, creative AI tools, and automation.
- Collaborate with engineers, data scientists, and researchers to build AI-driven applications.
- Present findings and insights to the team through reports and demos.
Required Qualifications
- Currently pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field .
- Strong programming skills in Python and experience with TensorFlow or PyTorch .
- Understanding of Neural Networks, Deep Learning, and NLP .
- Familiarity with transformer models (GPT, T5, BERT, etc).
- Experience with data preprocessing and handling large datasets.
- Passion for AI research and hands-on experimentation with generative models.
Preferred Qualifications
- Experience working with Hugging Face models and APIs.
- Knowledge of LangChain, Vector Databases, and LLM fine-tuning .
- Previous internship or project experience in Generative AI .
- Familiarity with Cloud Platforms (AWS, GCP, or Azure) for model deployment.
Benefits
- Work on cutting-edge AI models with real-world applications.
- Mentorship from experienced AI professionals.
- Exposure to state-of-the-art tools and research in Generative AI.
- Opportunity to transition into a full-time role based on performance.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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