Job Description…
Assists in developing and implementing AI/ML models to enhance event planning, personalization, and data-driven decision-making processes.
Key Responsibilities:
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Assist in designing and training AI/ML models for event-related data analysis and prediction.
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Work with datasets to identify trends, improve guest personalization, and enhance customer engagement.
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Support the integration of AI-powered features into event management software (e.g., chatbots, recommendation systems).
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Perform data preprocessing, cleaning, and labeling for machine learning projects.
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Conduct research on emerging AI/ML technologies relevant to event management.
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Collaborate with developers and data analysts to deploy AI solutions into live systems.
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Help in building predictive analytics tools for ticket sales, attendance forecasting, and resource allocation.
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Document project progress, experiments, and results for internal review.
Required Skills:
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Basic knowledge of machine learning algorithms and AI concepts.
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Proficiency in Python and libraries like NumPy, Pandas, Scikit-learn, and TensorFlow/PyTorch.
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Understanding of data preprocessing techniques (cleaning, normalization, feature engineering).
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Familiarity with data visualization tools (Matplotlib, Seaborn, or Power BI).
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Ability to work with APIs and integrate AI features into applications.
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Strong analytical and problem-solving skills.
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Eagerness to learn and adapt to new AI/ML tools and trends.
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Good communication skills for collaborating with cross-functional teams.
Qualifications:
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Pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
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Coursework or certifications in Machine Learning, AI, or Data Analytics preferred.
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Prior academic projects or internships in AI/ML will be an added advantage.
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Strong interest in applying AI/ML to real-world event management solutions.
Tools & Technologies:
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Programming Languages: Python, R
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ML & AI Libraries: Scikit-learn, TensorFlow, PyTorch, Keras
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Data Processing & Analysis: NumPy, Pandas
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Data Visualization: Matplotlib, Seaborn, Plotly
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Databases: MySQL, MongoDB
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Version Control: Git, GitHub
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Cloud Platforms: Google Colab, AWS SageMaker, Azure Machine Learning
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Other Tools: Jupyter Notebook, OpenCV (for image/video analysis), API integration tools