Generative AI Intern

1. Model Development & Fine-Tuning

• Develop, train, and fine-tune Generative AI models (LLMs, diffusion models, RAG pipelines, etc.)
  
• Optimize models for performance, accuracy, and scalability
  
• Implement prompt engineering and advanced generation techniques
  

2. Data Preparation & Management

• Curate, clean, and preprocess large datasets for generative tasks
  
• Build and maintain datasets for text, image, audio, or multimodal AI
  
• Ensure data privacy compliance (GDPR, internal data policies)
  

3. System Integration

• Integrate generative AI models into applications, APIs, or product workflows
  
• Work with backend, frontend, and DevOps teams for deployment
  
• Build scalable inference pipelines using cloud platforms (AWS, GCP, Azure)
  

4. Research & Innovation

• Evaluate new LLMs, frameworks, and model architectures
  
• Experiment with emerging GenAI technologies (RAG, agent workflows, model distillation)
  
• Create PoCs and prototypes for internal and client-facing use cases