Artificial Intelligence Intern

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 AI engineers and practitioners to gain hands-on, real-world experience. If you are self-taught, a student, or transitioning careers, this is a space for you to work on actual artificial intelligence challenges, build your portfolio, and learn by doing alongside our team.

Responsibilities

• Develop & Integrate AI: Help build and integrate smart solutions using state-of-the-art APIs (like OpenAI, Gemini, or Anthropic) or open-source models into real applications.
• Train & Fine-Tune Models: Assist in processing datasets and fine-tuning machine learning, natural language processing (NLP), or computer vision models.
• Prompt Engineering: Design, test, and systematically refine prompts to optimize the output, context retention, and reliability of Large Language Models (LLMs) for specific business tasks.
• Evaluate & Optimize: Test AI model performance, troubleshoot edge cases, and analyze outputs to ensure accuracy, speed, and safety.

Requirements

• Passionate about artificial intelligence and eager to learn.
• Solid grasp of Python and standard data manipulation libraries (such as Pandas or NumPy).
• Familiar with foundational AI concepts, including machine learning algorithms, deep learning basics, or NLP.

Nice to Have

• Hands-on experience with frameworks like PyTorch or TensorFlow.
• Experience with tools like LangChain or Hugging Face.
• Previous experience building an AI-powered project or chatbot.

Benefits

• Remote & Flexible: Contribute from anywhere, on a schedule that works for you.
• Real Portfolio Projects: Leave with functional AI applications, custom-tuned models, or intelligent agents.
• Direct Mentorship: Get honest code reviews, architectural feedback, and guidance from our core engineering team.
• Proof of Impact: A certificate of completion and a strong letter of recommendation.

Skills

• Python
• PyTorch
• LangChain
• NLP
• Pandas