Artificial Intelligence Intern

Artificial Intelligence Intern

Company: SkillzenLoop

Location: Remote

Employment Type: Internship (Full-time)

Duration: 1–3 Months

Stipend: ₹15,000 per month

Role Description

SkillzenLoop is looking for a brilliant and forward-thinking Artificial Intelligence Intern to join our innovation lab. In this role, you will go beyond traditional programming to work on Generative AI, Natural Language Processing (NLP), and Computer Vision projects. You will help us explore how AI can be integrated into our core products to create smarter, more intuitive user experiences.

Primary Responsibilities

• Model Implementation: Assist in the development and fine-tuning of AI models using frameworks like PyTorch, TensorFlow, or Keras.

• LLM Exploration: Work with Large Language Models (LLMs) and explore prompt engineering and RAG (Retrieval-Augmented Generation) architectures.

• Data Engineering: Collaborate on building data pipelines that feed into AI training environments, ensuring high-quality data inputs.

• Algorithm Research: Review academic papers and technical documentation to stay at the cutting edge of AI trends and implement state-of-the-art techniques.

• Prototyping: Build "Proof of Concept" (PoC) AI tools that solve specific business automation challenges.

Requirements

• Education: Currently pursuing or a recent graduate in Artificial Intelligence, Computer Science, Robotics, or a related highly technical field.

• Technical Proficiency: Strong programming skills in Python and experience with AI libraries (e.g., Hugging Face, OpenCV, or LangChain).

• AI Fundamentals: Solid understanding of Neural Networks, Deep Learning, and Transformers.

• Mathematics: Strong background in Linear Algebra, Calculus, and Probability.

• Mindset: A passion for ethical AI development and a desire to build technology that has a positive human impact.

Internship Benefits

• Stipend: A monthly payment of ₹15,000.

• Certification: Official Internship Completion Certificate from SkillzenLoop.

• Professional Growth: Performance-based Letter of Recommendation (LoR).

• Mentorship: Direct access to AI researchers and senior engineers working on live production models.

• Remote Culture: 100% remote work with access to advanced computing resources and a collaborative virtual environment.