Machine Learning Intern

• Build and fine-tune NLP and Transformer-based models.
  
• Experiment with Generative AI frameworks (LLMs, embeddings, diffusion models).
  
• Design, evaluate, and optimize prompts for real-world applications.
  
• Contribute to the development of AI agents and tool integrations.
  
• Preprocess, analyze, and experiment with structured and unstructured data.
  
• Partner with mentors to research and implement novel AI techniques.
  

• Strong knowledge of Python and ML libraries (e.g., PyTorch, Hugging Face).
  
• Familiarity with web frameworks (FastAPI, or Flask).
  
• Understanding of NLP concepts (tokenization, embeddings, transformers, attention).
  
• Knowledge of Generative AI (LLMs, GPT, diffusion models, RAG pipelines).
  
• Exposure to prompt engineering and evaluation methods.
  
• Awareness of agent frameworks (e.g., LangChain, LlamaIndex) is a plus.
  
• Strong problem-solving mindset, eagerness to learn, and adaptability in fast-paced
  
• environments.
  

• Building strong compliance and guardrails on the input and output for our chatbot to ensure safe, reliable, and ethical AI responses.
  
• Creating dynamic user personas based on interaction and conversation history to deliver personalized experiences.
  
• Enhancing evaluation pipelines for prompts and agent workflows to accelerate development and reduce project timelines.
  
• Automating operational workflows across different teams to improve efficiency, reduce manual effort, and enable faster execution.
  

• Real-world exposure to AI product development in the fintech domain at scale.
  
• Hands-on experience with state-of-the-art ML/GenAI technologies.
  
• Opportunity to understand AI agent architectures and pipelines.
  
• Collaboration across data science, engineering, design, and business teams.
  
• Mentorship from experienced ML engineers and researchers.
  
• Pathway to potential full-time opportunities based on performance.
  

• Experience working with teams across data, tech, and marketing.
  
• Exposure to real-world product development in fintech at scale.
  
• Opportunity to own problem statements end-to-end and see them go live in production.
  
• Flexibility to explore adjacent areas like design, growth, and retention, depending on your interest.
  

Internship Details

• Duration: 3-6 months (flexible based on academic calendar)
  

• Location: Bangalore
  

• Start Date: Rolling basis (indicate your availability in your application)