Generative AI Internship Programme

The Standard School of Machine Learning (TheSSML) is a leading institution focused on providing advanced education and training in AI and machine learning. We are committed to producing skilled professionals who are capable of solving complex problems through innovative technologies.

Internship Overview:
The Generative AI Internship Programme offers a unique opportunity for aspiring AI professionals to work on cutting-edge generative models and contribute to impactful research. This remote, no-stipend internship provides practical exposure to the development and application of generative AI technologies. As an intern, you will collaborate with expert AI researchers and gain hands-on experience while contributing to meaningful projects.

Key Responsibilities:

• Research, design, and implement generative AI models (e.g., GANs, VAEs, transformers).
• Collaborate with the team to optimize and enhance existing models and algorithms.
• Assist in data analysis, model evaluation, and testing.
• Develop and document your findings, methodologies, and results.
• Stay current with emerging trends and developments in generative AI and machine learning.

Requirements:

• Strong foundational knowledge in machine learning, deep learning, and AI.
• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Previous experience or interest in generative models (GANs, VAEs, etc.).
• Strong problem-solving skills and the ability to work independently in a remote setup.
• Excellent communication skills, both written and verbal.
• Passion for AI and machine learning research.

What You Will Gain:

• Hands-on experience with state-of-the-art generative AI techniques and models.
• Direct mentorship from experienced AI professionals and researchers.
• Exposure to industry-leading AI projects and applications.
• A completion certificate from TheSSML to showcase your expertise and contribution.
• Opportunities for professional networking in the AI and machine learning community.