Padmi

Artificial Intelligence Intern Remote (India)

IndiaPosted 1 month ago
Data Science And StatisticsInternFull Time; Regular
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Artificial Intelligence Intern Remote (India) | Full-Time Internship | Duration: 13 Months About Medinex Workforce Medinex Workforce is a growing organization focused on building skilled talent pipelines across data, technology, and healthcare-adjacent domains. We offer hands-on internship programs designed to give students and early-career professionals real-world project experience, exposure to live projects, and mentorship from experienced professionals in the field. Role Overview We are looking for a motivated and curious Artificial Intelligence Intern to join our remote team. This internship is designed for individuals who want to gain practical, hands-on experience working with AI concepts, tools, and frameworks in a real business setting. You will work closely with our technical team on tasks involving model development, data preparation, and applied AI problem-solving, while building a strong foundation for a future career in artificial intelligence. Key Responsibilities - Assist in designing, training, and evaluating AI/ML models for real-world use cases - Support data collection, cleaning, and preprocessing to prepare datasets for model training - Research and experiment with different algorithms and approaches to improve model performance - Help document experiments, results, and technical processes clearly for the team - Collaborate with data scientists, developers, and other interns on cross-functional AI projects - Assist in testing and validating models to ensure accuracy and reliability - Stay updated on emerging AI tools, frameworks, and industry best practices - Present findings and progress updates to the team in a clear and organized manner Requirements - Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field - Basic understanding of machine learning concepts and Python programming - Familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn is a pl .

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