Full-Stack Intern (AI-Focused) - Internship

**Company Description

**

Nutrail Analytics specializes in designing and delivering AI-driven solutions,

advanced analytics, and consulting services to transform data into actionable

insights. From predictive modeling to automation and AI development, the

company supports businesses in navigating their digital transformation

journey. With a mission to make AI practical, impactful, and accessible,

Nutrail Analytics partners with organizations of all sizes to guide them from

concept to implementation and scaling. At Nutrail Analytics, innovation and

collaboration drive success in unlocking smarter business paths.

**Role Description

**

This is a part-time remote role for a Full-Stack Intern with an AI focus. The

intern will contribute to the development and deployment of web applications,

participate in building and optimizing AI models within these projects, and

assist in both frontend and backend development tasks. In addition, the intern

will be responsible for ensuring the seamless integration of AI-driven

solutions into real-world applications and participating in collaborative team

efforts to meet project requirements.

**Qualifications

**

* Proficiency in frontend technologies such as HTML, CSS, JavaScript, and familiarity with frameworks like React or Angular

* Knowledge and experience in backend development, including languages like Python or Node.js, and working with servers and databases

* Experience with AI concepts including machine learning, deep learning frameworks, and model building

* Strong problem-solving and debugging skills in full-stack development environments

* Understanding of version control systems such as Git and collaboration on software projects

* Excellent communication skills and ability to work effectively in a remote, team-oriented environment

* Previous experience with cloud platforms (e.g., AWS, Azure, GCP) and knowledge of APIs is a plus

* Enrollment in or completion of a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Analytics, or a related field is preferred