AI/ML Intern

Bluebex

Bengaluru, Karnataka, IndiaFresher1h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year · B.Tech / B.E., BCA, MCA or B.Sc
Must know
Machine learningLLMsREST APIsPythonDeep learningGit
Nice to have
PyTorchTensorFlow
Work
On-site in Bengaluru · internship
Pay
Not stated by the employer.
Skill demand
Machine learning72%Python66%LLMs60%REST APIs33%of 99 similar fresher jobs posted in India this week
Listed
7 Nov 2026 · still open

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About the Role

We are looking for a passionate and enthusiastic AI/ML Intern to join our team. You will work on real-world AI projects, explore the latest AI technologies, and help build intelligent applications powered by machine learning and large language models (LLMs).

Key Responsibilities

  • Research and experiment with AI/ML models and emerging AI technologies.
  • Work with Large Language Models (LLMs) and Generative AI applications.
  • Develop and integrate AI-powered features into web and mobile applications.
  • Work with APIs from OpenAI, Gemini, Claude, and other AI providers.
  • Explore prompt engineering, RAG, embeddings, and vector databases.
  • Assist in building AI chatbots, automation tools, and intelligent systems.
  • Evaluate model performance, accuracy, and response quality.
  • Collaborate with developers to implement AI solutions.

Requirements & Tech Stack

  • Basic knowledge of Python programming.
  • Understanding of AI, Machine Learning, and Deep Learning fundamentals.
  • Familiarity with REST APIs and JSON.
  • Interest in Generative AI and LLM technologies.
  • Problem-solving skills and willingness to learn.
  • Knowledge of TensorFlow, PyTorch, LangChain, or Hugging Face is an advantage.
  • Basic knowledge of Git and GitHub.
  • Previous AI/ML projects or a GitHub portfolio.
  • Experience with OpenAI API, Gemini API, or Claude API.
  • Knowledge of RAG, vector databases, and embeddings.

Who can Apply?

  • B.Tech / B.E / BCA / MCA / B.Sc Computer Science students.
  • Recent graduates interested in AI and Machine Learning.
  • Self-learners with demonstrable AI projects are also welcome.

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