AI ML DL Intern AI Vidya

AI Vidya

Role Overview

AI/ML/DL Intern

Key Responsibilities

Machine Learning & Deep Learning Development

• Build, train, and evaluate ML/DL models using Python, TensorFlow, PyTorch, and Scikit-learn.
  
• Work on supervised, unsupervised, and deep learning projects.
  
• Develop classification, regression, NLP, CV, and generative AI solutions.
  

AI Research & Experimentation

• Research the latest AI papers, model updates, and trends.
  
• Run experiments and compare models, tools, and architectures.
  
• Document findings and present insights to the AI Vidya team.
  

LLM & Generative AI Projects

• Work on LLM pipelines using OpenAI, Llama, Claude, Gemini, etc.
  
• Build RAG systems, embeddings, prompt workflows, and fine-tuned models.
  
• Experiment with generative AI image, speech, and video models.
  

Data Engineering & Preparation

• Collect and clean datasets for ML/DL tasks.
  
• Perform feature engineering, preprocessing, and augmentation.
  
• Work with large text, image, or structured datasets.
  

Automation & Deployment Support

• Assist with deploying models using APIs, FastAPI, or cloud services.
  
• Work with vector databases, MLOps tools, and monitoring systems.
  
• Build simple dashboards or applications for model outputs.
  

Collaboration & Reporting

• Collaborate with AI Vidya’s research, engineering, and product teams.
  
• Prepare daily/weekly reports of tasks, experiments, and results.
  
• Maintain clear documentation for all projects and code.
  

Required Skills

• Strong knowledge of

  Python

  , NumPy, Pandas, Matplotlib, Scikit-learn.
• Understanding of

  Neural Networks, CNNs, RNNs, Transformers

  .
• Basic understanding of

  LLMs, embeddings, RAG, vector databases

  .
• Familiarity with

  TensorFlow / PyTorch

  .
• Strong problem-solving and analytical thinking skills.
  

Good to Have

• Hands-on experience with

  OpenAI API, Hugging Face Transformers

  .
• Knowledge of

  LangChain, LlamaIndex, FastAPI

  .
• Experience with

  Stable Diffusion / image generation models

  .
• Exposure to

  AWS/GCP/Azure

  cloud services.
• GitHub portfolio or past AI/ML projects.
  

Eligibility

• Students pursuing B.Tech / B.E / M.Tech / MCA / AI/ML specialization OR recent graduates.
  
• Strong interest in building real AI solutions.
  
• Prior projects or hackathon experience is a plus.
  

What You Will Gain at AI Vidya

• Work directly with senior AI/ML engineers and mentors.
  
• Build production-ready AI/ML projects.
  
• Get featured on AI Vidya’s community channels for top performers.
  
• Internship Certificate + Letter of Recommendation.
  
• Opportunity for full-time roles after completion.
  
• Access to AI Vidya Courses, Labs, and Tools.