Responsibilities:

• Assist in collecting, cleaning, and preprocessing datasets for AI/ML projects.
• Develop and implement Machine Learning models under mentor guidance.
• Perform exploratory data analysis (EDA) and visualize insights.
• Work with Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn.
• Build and test AI-powered applications and automation solutions.
• Explore and implement Generative AI tools and Large Language Models (LLMs).
• Create prompts and optimize AI model outputs.
• Conduct research on emerging AI technologies and industry trends.
• Document project progress, methodologies, and results.
• Present project findings and recommendations to mentors and stakeholders.
• Collaborate with team members using Git and GitHub for version control.

Requirements:

• Basic understanding of Python programming.
• Familiarity with data structures and programming fundamentals.
• Basic knowledge of Machine Learning concepts is preferred.
• Interest in Artificial Intelligence, Machine Learning, and Generative AI.
• Understanding of data analysis concepts.
• Willingness to learn new tools and technologies.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability to work independently and meet project deadlines.
• Knowledge of SQL, Pandas, or Data Visualization tools is an added advantage.