Position Overview
We are seeking a highly skilled and innovative Artificial Intelligence (AI) and Machine Learning (ML) Engineer with a passion for applying machine learning to enhance educational games. You will be responsible for developing and deploying AI models that power adaptive learning experiences in Unity and Unreal Engine environments. Your contributions will play a vital role in creating personalized and engaging educational tools that adjust in real-time to meet student needs.
Responsibilities
- Design, develop, and deploy AI models that adapt game mechanics in real-time based on user performance and engagement.
- Collaborate with game developers and designers to integrate AI-driven personalization into Unity and Unreal Engine environments.
- Fine-tune and optimize models for low-latency real-time performance on VR/AR and mobile platforms.
- Use MLFlow to track model performance and versioning, ensuring ongoing improvements.
- Conduct experiments and analyze data to improve AI-driven gameplay and educational outcomes.
- Work with data scientists and devops engineers to ensure scalable and robust AI systems.
Required Hard Skills
- Expertise in machine learning frameworks like TensorFlow or PyTorch.
- Experience with AI model deployment on edge devices (e.g., MCUs, NPUs, GPUs).
- Strong background in real-time AI/ML model development for games.
- Knowledge of Unity or Unreal Engine for integrating AI into educational games.
- Experience with cloud platforms (AWS, GCP, Azure) and scalable model deployment.
Required Soft Skills
- Passion for enhancing the learning experience through AI and adaptive technology.
- Strong problem-solving and analytical skills.
- Ability to collaborate with a cross-functional team of developers, designers, and data scientists.
- Effective communication and ability to document experiments and model performance.
- Curiosity and eagerness to explore new AI technologies and methodologies.
Requirements
- At least 3 years of experience as an AI/ML Engineer.
- Proven experience in deploying machine learning models for games or real-time applications.
- Familiarity with VR/AR environments and educational games is a plus.