AI Intern
Job Description
Collect, clean, and analyze datasets for machine learning and deep learning work. Support model training, evaluation, and applications in NLP, computer vision, and predictive analytics, including feature engineering, testing, and documentation.
Key Responsibilities
- Assist in collecting, cleaning, and analyzing datasets for AI projects
- Support the development, training, and evaluation of Machine Learning and Deep Learning models
- Conduct research on emerging AI technologies, tools, and methodologies
- Assist in developing AI-powered applications, chatbots, computer vision, or predictive analytics solutions
- Perform data pre-processing, feature engineering, and model optimization
- Test and validate AI models to ensure accuracy and performance
- Prepare technical documentation, reports, and presentations
- Collaborate with cross-functional teams on AI and automation projects
Candidate Requirements
- Pursuing or recently completed a B.E./B.Tech, M.E./M.Tech, B.Sc., M.Sc. in CS, AI, Data Science, IT, Electronics, or related fields
- Knowledge of Computer Vision, Natural Language Processing (NLP), or Generative AI
- Experience with Jupyter Notebook, Google Colab, or similar development environments
- Familiarity with Git/GitHub and version control systems
- Understanding of cloud platforms and AI deployment concepts
Knowledge Requirement
- Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
- Jupyter Notebook / Google Colab
- Git / GitHub
- Cloud Platforms (AWS / GCP / Azure)
- OpenCV / Hugging Face / LangChain