• This internship provides hands-on exposure to real-world projects involving data analysis, model building, and algorithm optimization
• Assist in developing, training, and evaluating machine learning models
• Preprocess, clean, and analyze datasets to extract valuable insights
• Support data scientists and engineers in implementing ML workflows and pipelines
• Research new algorithms and frameworks to improve model performance
• Visualize results and present findings to the project team

Document methodologies, experiments, and outcomes for internal use

• It’s an ideal opportunity for students or recent graduates who want to apply their academic knowledge in a professional setting and gain practical experience in machine learning and data science
• Fundamental understanding of machine learning algorithms (supervised and unsupervised)
• Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch
• Familiarity with data analysis tools like Pandas, NumPy, or Jupyter Notebooks
• Strong problem-solving, analytical, and communication skills
• Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI)
• Previous internship, coursework, or personal projects in AI or ML
• Hands-on experience with real-world datasets and ML development cycles

Mentorship from experienced data scientists and engineers

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field