1. JOB DESCRIPTION - Develop, fine-tune, and deploy Large Language Models (LLMs) for real-world applications. - Design and implement advanced Reinforcement Learning (RL) algorithms to improve AI performance. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into business systems. - Optimize model architecture and performance for scalability and efficiency. - Conduct research and stay updated on the latest AI advancements to enhance the company’s AI capabilities. - Evaluate and continuously improve AI models using feedback loops and performance metrics. 2. JOB REQUIREMENTS - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. - Proven experience in building and fine-tuning Large Language Models (e.g., GPT, LLaMA, Qwen). - Strong expertise in Reinforcement Learning (RL) with knowledge of frameworks such as RLlib and Stable Baselines. - Proficiency in Python and experience with machine learning frameworks like TensorFlow or PyTorch. - Solid understanding of natural language processing (NLP), neural networks, and transformer-based architectures. - Experience with distributed computing and deploying large-scale AI models. - Familiarity with cloud platforms (AWS, GCP, or Azure) for AI/ML deployment. - English communication skills (both written and spoken) to collaborate with international teams and clients effectively. - Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively. Preferred Qualifications: - Experience in human feedback-based model training (Reinforcement Learning with Human Feedback - RLHF). - Knowledge of MLOps practices for seamless deployment and monitoring of AI models. - Research experience or publications in LLMs or Reinforcement Learning. 3. BENEFITS - Salary: negotiate. 13 salary months/year + Bonus;  - Working with people who have 8-10 years of experience in the field of software, Software Architect position of the large systems. - Guided intensive development of technology. - Have the opportunity to work with challenges and develop one’s best abilities. - Health insurance, the social insurance as prescribed by the State. - Working environment: Friendly, dynamic, promotion opportunities. - Receive company’s welfare: Holidays, annual vacation, sports, team-building, advanced classes of foreign languages (English, Japanese) ...etc - Health check once a year. 4. CONTACT INFORMATION - Please send your CV to the following email address: [email protected]