.Net Ai engineer

Company Description DevToDesk is a career-focused learning platform dedicated to helping students bridge the gap between academic education and industry expectations. The organization offers mentorship, interview preparation, placement guidance, and project-based learning led by experienced software professionals from leading companies. Its mission is to empower learners to build confidence, gain industry-relevant skills, and transition smoothly from campus to corporate careers. DevToDesk provides services such as career roadmaps, resume reviews, mock interviews, and software development training, supported by an active online community and direct communication channels.

Role Description The .Net AI Engineer internship role at DevToDesk is a remote position focused on applying .NET technologies to build and enhance AI-driven solutions. Day-to-day responsibilities include assisting in the design and development of AI features, implementing and testing machine learning and NLP components, and integrating neural network models into .NET applications under the guidance of senior engineers and mentors. The intern will help analyze data patterns, contribute to proof-of-concept projects, document technical workflows, and collaborate with the learning and mentoring team to create practical, industry-relevant tools for students. This internship role also involves participating in code reviews, improving existing AI modules, and continuously learning about emerging AI and software development practices.

Qualifications

• Strong foundation in Computer Science and Software Development, with familiarity using .NET or C# in practical projects.
• Understanding of core AI concepts such as Pattern Recognition and Neural Networks, and the ability to apply them in solving real-world problems.
• Basic knowledge of Natural Language Processing (NLP) and interest in building language-aware applications or chatbots.
• Ability to write clean, maintainable code, use version control systems (e.g., Git), and follow standard software engineering practices.
• Comfort working in a remote, collaborative environment with mentors and peers, demonstrating clear communication and proactive learning.
• Current enrollment in or recent completion of a degree in Computer Science, Software Engineering, or a related field, or equivalent self-taught experience.
• Experience with data structures, algorithms, and object-oriented programming; exposure to machine learning frameworks or libraries is a plus.
• Motivation to build industry-ready skills, openness to feedback, and interest in mentoring-driven, project-based learning.