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.