About the role

Job Title AI Internship Mentor / IT Project Mentor Role Summary We are looking for an experienced IT professional to mentor interns in Artificial Intelligence, software development, and real-world project building. The mentor will guide students or fresh graduates through practical internship tasks, help them understand industry workflows, and support them in building portfolio-ready projects. Key Responsibilities Mentor interns on AI, machine learning, software development, and project execution. Guide interns in building real-world IT projects from idea to deployment. Explain industry practices such as requirements gathering, coding standards, debugging, testing, documentation, Git usage, and deployment. Help interns work on AI projects using tools such as Python, APIs, LLMs, automation tools, data processing, and cloud platforms. Review code, provide feedback, and help interns improve technical quality. Conduct regular project discussions, technical sessions, and progress reviews. Support interns in creating project documentation, GitHub repositories, demos, and final presentations. Teach interns how real IT teams work, including Agile basics, task tracking, collaboration, and client-style delivery. Encourage problem-solving, independent learning, and professional communication. Required Experience Real IT industry experience in software development, AI, data science, cloud, automation, or related fields. Hands-on experience building and delivering projects. Strong knowledge of Python and at least one area such as AI/ML, Generative AI, web development, APIs, databases, or cloud deployment. Experience using tools such as GitHub, VS Code, Jupyter Notebook, REST APIs, SQL/NoSQL databases, or cloud platforms. Ability to explain technical concepts clearly to beginners and intermediate learners. Preferred Skills Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, OpenAI APIs, Hugging Face, or similar tools. Experience with full-stack or backend development. Knowledge of project deployment using cloud platforms such as AWS, Azure, GCP, Vercel, Render, or Docker. Prior mentoring, teaching, training, or internship supervision experience. Ability to design internship project roadmaps and weekly learning plans. Example Projects Interns May Build AI chatbot or virtual assistant Resume screening or job recommendation system AI-powered document summarizer Customer support automation system Data analytics dashboard Computer vision project Predictive analytics model Full-stack AI web application API-based automation project Portfolio-ready capstone project Qualifications Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or equivalent practical experience. 3+ years of real IT experience preferred. Strong communication and mentoring skills. Passion for helping interns gain practical, job-ready skills. Expected Outcome By the end of the internship, interns should be able to understand real IT workflows, build practical AI or software projects, present their work professionally, and add meaningful projects to their resume or portfolio.

Responsibilities

Job Title
AI Internship Mentor / IT Project Mentor
Role Summary
We are looking for an experienced IT professional to mentor interns in Artificial Intelligence, software development, and real-world project building. The mentor will guide students or fresh graduates through practical internship tasks, help them understand industry workflows, and support them in building portfolio-ready projects.
Key Responsibilities
Mentor interns on AI, machine learning, software development, and project execution.
Guide interns in building real-world IT projects from idea to deployment.
Explain industry practices such as requirements gathering, coding standards, debugging, testing, documentation, Git usage, and deployment.
Help interns work on AI projects using tools such as Python, APIs, LLMs, automation tools, data processing, and cloud platforms.
Review code, provide feedback, and help interns improve technical quality.
Conduct regular project discussions, technical sessions, and progress reviews.
Support interns in creating project documentation, GitHub repositories, demos, and final presentations.
Teach interns how real IT teams work, including Agile basics, task tracking, collaboration, and client-style delivery.
Encourage problem-solving, independent learning, and professional communication.
Required Experience
Real IT industry experience in software development, AI, data science, cloud, automation, or related fields.
Hands-on experience building and delivering projects.
Strong knowledge of Python and at least one area such as AI/ML, Generative AI, web development, APIs, databases, or cloud deployment.
Experience using tools such as GitHub, VS Code, Jupyter Notebook, REST APIs, SQL/NoSQL databases, or cloud platforms.
Ability to explain technical concepts clearly to beginners and intermediate learners.
Preferred Skills
Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, OpenAI APIs, Hugging Face, or similar tools.
Experience with full-stack or backend development.
Knowledge of project deployment using cloud platforms such as AWS, Azure, GCP, Vercel, Render, or Docker.
Prior mentoring, teaching, training, or internship supervision experience.
Ability to design internship project roadmaps and weekly learning plans.
Example Projects Interns May Build
AI chatbot or virtual assistant
Resume screening or job recommendation system
AI-powered document summarizer
Customer support automation system
Data analytics dashboard
Computer vision project
Predictive analytics model
Full-stack AI web application
API-based automation project
Portfolio-ready capstone project
Qualifications
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or equivalent practical experience.
3+ years of real IT experience preferred.
Strong communication and mentoring skills.
Passion for helping interns gain practical, job-ready skills.
Expected Outcome
By the end of the internship, interns should be able to understand real IT workflows, build practical AI or software projects, present their work professionally, and add meaningful projects to their resume or portfolio.