✅ REQUIREMENTS

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field .
• 2+ years of experience in applied AI/ML development (LLMs, RL, NLP, or computer vision).
• Proficiency in Python and frameworks such as PyTorch , TensorFlow , or Transformers (Hugging Face) .
• Experience with LLM fine-tuning , prompt engineering, or retrieval systems.
• Familiarity with cloud platforms and model deployment best practices.
• Strong understanding of machine learning workflows: data preprocessing, model training, evaluation, and optimization.

• Develop and fine-tune large language models (LLMs) and reinforcement learning agents for in-game character interaction and dialogue systems.
• Design AI-driven recommendation systems to optimize content discovery and game engagement.
• Build retrieval-augmented generation (RAG) pipelines for dynamic NPC conversations and player queries.
• Integrate speech recognition and text-to-speech models into mobile applications for real-time interaction.
• Deploy AI models using scalable, cloud-native infrastructure (e.g., AWS, GCP, Docker, Kubernetes).
• Collaborate with game developers, UX designers, and product teams to deliver AI-powered features.
• Research and prototype AI solutions related to user personalization, matchmaking, and emotion detection.