Artificial Intelligence Engineer

Role Overview

At Nexal IIT, we're doing things differently. This isn't a traditional job or a standard internship—it’s an open collaboration program designed for aspiring Artificial Intelligence professionals to gain hands-on, real-world experience. If you are self-taught, a boot-camp graduate, a student, or transitioning careers, this is a space for you to explore AI technologies, build intelligent applications, work on practical projects, and learn by doing alongside our team.

Responsibilities

• Build AI Solutions: Develop practical AI-based applications and solutions to solve real-world problems.
• Work with AI & Machine Learning: Explore machine learning concepts, algorithms, model training, and evaluation techniques.
• Develop AI Applications: Work with Python and relevant AI libraries and frameworks to create intelligent applications.
• Data Preparation: Collect, clean, preprocess, and analyze datasets for use in AI and machine learning projects.
• Explore Generative AI: Gain practical exposure to Large Language Models (LLMs), prompt engineering, AI APIs, and generative AI applications.
• Test & Optimize Models: Evaluate AI models, identify performance issues, and improve their accuracy and effectiveness.
• Collaborate on Projects: Work with mentors and team members, participate in project discussions, receive feedback, and improve your technical skills.

Requirements

• Passionate about Artificial Intelligence and eager to learn.
• Basic understanding of programming concepts and problem-solving.
• Familiar with Python or interested in learning Python for AI development.
• Basic understanding of mathematics, statistics, or machine learning concepts is an advantage.

Skills

• Python
• PyTorch
• TensorFlow
• Scikit-learn
• Generative AI

Benefits

• Remote & Flexible: Contribute from anywhere, on a schedule that works for you.
• Real Portfolio Projects: Build AI-powered applications, machine learning projects, and practical solutions.
• Direct Mentorship: Get valuable feedback, technical guidance, and support from our mentors and team members.
• Hands-On Experience: Gain practical exposure to AI tools, machine learning workflows, and Generative AI technologies.
• Proof of Impact: A certificate of completion and a strong letter of recommendation.