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AI/ML Intern (Machine Learning & Generative AI)

We are looking for a motivated AI/ML Intern to join our team and work on real-world machine learning and generative AI projects. This internship offers hands-on experience in building, training, and deploying AI models while collaborating with experienced engineers and product teams.

Key Responsibilities

  • Assist in developing and implementing machine learning models.
  • Work with structured and unstructured datasets for data preprocessing and analysis.
  • Build and evaluate predictive models using Python and popular ML libraries.
  • Develop AI-powered applications using Large Language Models (LLMs) and prompt engineering.
  • Experiment with Retrieval-Augmented Generation (RAG) and vector databases.
  • Support model deployment, testing, and performance optimization.
  • Research emerging AI technologies and contribute innovative ideas.
  • Document experiments, findings, and technical implementations.

Required Skills

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong programming skills in Python.
  • Basic understanding of machine learning concepts and algorithms.
  • Familiarity with libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
  • Knowledge of SQL and data analysis.
  • Understanding of Generative AI, LLMs, or prompt engineering is a plus.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.

Preferred Qualifications

  • Experience with LangChain, LlamaIndex, or similar AI frameworks.
  • Familiarity with APIs, REST services, or FastAPI.
  • Knowledge of Git and version control.
  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
  • Personal, academic, or open-source AI/ML projects are highly valued.

Internship Details

  • Employment Type: Internship
  • Duration: 3–6 months
  • Work Mode: On-site

Pay: ₹15,000.00 - ₹20,000.00 per month

Work Location: In person

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