AI and Machine Learning Intern

AI and Machine Learning Intern

Company:

Location:

Duration:

Stipend for Top Interns:

Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance

About the Company:

INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications.

Role Overview:

As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems.

Key Responsibilities:

• Collect, clean, and preprocess datasets for training machine learning models
• Implement machine learning algorithms for classification, regression, and clustering
• Develop deep learning models using frameworks like TensorFlow or PyTorch
• Evaluate model performance using metrics such as accuracy, precision, and recall
• Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems
• Document code, methodologies, and results for reproducibility and knowledge sharing

Qualifications:

• Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib
• Familiarity with machine learning concepts like supervised and unsupervised learning
• Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch)
• Good problem-solving skills and a passion for AI innovation
• Eagerness to learn and contribute to real-world ML applications

Internship Benefits:

• Hands-on experience with real-world AI and ML projects
• Certificate of Internship upon successful completion
• Letter of Recommendation for top performers
• Build a strong portfolio of AI models and machine learning solutions