Generative AI Engineer Intern

Company Description

Akiyam Solutions is a pioneering company in game and simulation development, specializing in AR, VR, MR, and XR technologies, as well as GIS solutions and robotics simulations. Beyond entertainment, the company focuses on AI-driven training environments for industries such as defense, aviation, and industrial applications. By integrating machine learning, generative AI, and neural networks into its projects, Akiyam Solutions delivers advanced, highly realistic, and intelligent experiences. The company also prioritizes global reach and innovation in AI domains, revolutionizing procedural content generation, NPC behaviors, and real-time analytics. With expertise in technology and storytelling, Akiyam aims to lead in interactive entertainment and AI-powered simulations.

Role Description

This is a virtual internship opportunity for a Generative AI Engineer Intern with Akiyam Solutions Private Limited. The intern will work on creating and fine-tuning generative AI models tailored for applications in simulations, gaming, and real-world processes. Responsibilities include data preprocessing, creating machine learning pipelines, testing and deploying models, and collaborating with team members to improve AI-enhanced solutions. The position offers flexibility as it is a fully remote internship, allowing candidates to contribute from anywhere.

Qualifications

• Strong foundational knowledge of machine learning, deep learning, and generative AI concepts.
• Proficiency in programming and tools such as Python, TensorFlow, PyTorch, or other AI frameworks.
• Experience with data preprocessing, model training, and optimization techniques.
• Understanding of neural network architectures, including GANs, transformers, and related models.
• Creative problem-solving skills and ability to innovate within AI and simulation technologies.
• Experience with 3D modeling, computer vision, or procedural content generation is a plus.
• Strong communication skills and the ability to work effectively in a remote, collaborative team environment.
• Pursuing or recently completed a degree in Computer Science, AI, Mathematics, or a related field.