AI & ML Intern

Position Overview We are seeking a motivated and enthusiastic AI/ML Intern to join our team and contribute to the development of innovative machine learning and artificial intelligence solutions. This internship offers hands-on experience working on real-world AI projects, collaborating with experienced engineers and data scientists, and gaining exposure to the end-to-end machine learning lifecycle. Key Responsibilities Assist in collecting, cleaning, and preprocessing structured and unstructured datasets.Support the development, training, and evaluation of machine learning and deep learning models.Conduct exploratory data analysis and generate actionable insights.Implement and test AI/ML algorithms using Python and relevant frameworks.Help build and optimize data pipelines and model deployment workflows.Research emerging AI/ML techniques, tools, and best practices.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Document experiments, methodologies, and model performance results.Required Qualifications Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.Strong understanding of machine learning fundamentals and data structures.Proficiency in Python programming.Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch.Basic knowledge of data analysis tools such as Pandas, NumPy, and Matplotlib.Understanding of SQL and database concepts.Strong analytical and problem-solving skills.Good communication and teamwork abilities.Preferred Qualifications Experience with Git and version control systems.Personal, academic, or open-source AI/ML projects.Learning Opportunities Work on real-world AI applications and products.Gain mentorship from experienced AI/ML professionals.Exposure to model development, deployment, and monitoring workflows.Opportunity to contribute to impactful projects and build a strong portfolio.Work Location: In person Compensation: 1,000.00 - 4,000.00 per month Work Location: In person .