AI/ML Intern

Posted time August 12, 2025 Location Hyderabad Job type Full-time

Job Description…

Assists in developing and implementing AI/ML models to enhance event planning, personalization, and data-driven decision-making processes.

Key Responsibilities:

  1. Assist in designing and training AI/ML models for event-related data analysis and prediction.

  2. Work with datasets to identify trends, improve guest personalization, and enhance customer engagement.

  3. Support the integration of AI-powered features into event management software (e.g., chatbots, recommendation systems).

  4. Perform data preprocessing, cleaning, and labeling for machine learning projects.

  5. Conduct research on emerging AI/ML technologies relevant to event management.

  6. Collaborate with developers and data analysts to deploy AI solutions into live systems.

  7. Help in building predictive analytics tools for ticket sales, attendance forecasting, and resource allocation.

  8. Document project progress, experiments, and results for internal review.

 

Required Skills:

  • Basic knowledge of machine learning algorithms and AI concepts.

  • Proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, and TensorFlow/PyTorch.

  • Understanding of data preprocessing techniques (cleaning, normalization, feature engineering).

  • Familiarity with data visualization tools (Matplotlib, Seaborn, or Power BI).

  • Ability to work with APIs and integrate AI features into applications.

  • Strong analytical and problem-solving skills.

  • Eagerness to learn and adapt to new AI/ML tools and trends.

  • Good communication skills for collaborating with cross-functional teams.

 

Qualifications:

  • Pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

  • Coursework or certifications in Machine Learning, AI, or Data Analytics preferred.

  • Prior academic projects or internships in AI/ML will be an added advantage.

  • Strong interest in applying AI/ML to real-world event management solutions.

 

Tools & Technologies:

  • Programming Languages: Python, R

  • ML & AI Libraries: Scikit-learn, TensorFlow, PyTorch, Keras

  • Data Processing & Analysis: NumPy, Pandas

  • Data Visualization: Matplotlib, Seaborn, Plotly

  • Databases: MySQL, MongoDB

  • Version Control: Git, GitHub

  • Cloud Platforms: Google Colab, AWS SageMaker, Azure Machine Learning

  • Other Tools: Jupyter Notebook, OpenCV (for image/video analysis), API integration tools