Python Intern Data Science / AI/ML

About the Role

As a Python Intern in Data Science / AI/ML at AI Logic Neural Network Pvt Ltd., you will be working on developing and implementing machine learning models using Python. Your primary responsibility will be to assist in data preprocessing, feature engineering, and model training using popular libraries such as NumPy, Matplotlib, and Scikit-learn. You will also be involved in data visualization and analysis using Pandas and Matplotlib.

Key Responsibilities

• Develop and implement machine learning models using Python and popular libraries such as Scikit-learn and TensorFlow.
• Assist in data preprocessing, feature engineering, and model training.
• Perform data visualization and analysis using Pandas and Matplotlib.
• Work on developing and deploying AI/ML models using cloud platforms such as AWS or Google Cloud.
• Collaborate with data scientists and engineers to design and implement data-driven solutions.
• Stay up-to-date with the latest advancements in AI/ML and data science.
• Document and present project findings and results to the team.

Skills & Qualifications

• Strong foundation in Python programming and data structures.
• Experience with popular data science libraries such as NumPy, Pandas, and Matplotlib.
• Knowledge of machine learning algorithms and their implementation using Scikit-learn and TensorFlow.
• Basic understanding of object-oriented programming concepts.
• Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork skills.

What You'll Learn

As a Python Intern in Data Science / AI/ML, you will gain hands-on experience in developing and implementing machine learning models using Python. You will learn to work with popular data science libraries and tools, and develop a strong understanding of data preprocessing, feature engineering, and model training. You will also have the opportunity to work on real-world projects and collaborate with experienced data scientists and engineers.

Resume Tip

When applying for this role, make sure to highlight your experience with Python and data science libraries such as NumPy, Pandas, and Matplotlib. Include any personal projects or contributions to open-source projects that demonstrate your skills in machine learning and data science. Additionally, be sure to tailor your resume to the specific requirements of the job description and highlight your relevant skills and experience.