NuAIg is seeking talented AI Engineers to join their Centre of Excellence team to develop AI-enabled tools and solutions that make a significant difference in the lives of the elderly worldwide, specifically focusing on improving the quality of life for aging populations globally through AI-driven solutions.
Requirements
- Proven experience in fine-tuning large language models (LLMs), using GPT APIs, and Retrieval Augmented Generation (RAG).
- Extensive hands-on experience with Generative AI (GenAI) use cases and the development of generative AI applications.
- Proficiency in programming languages such as Python, R, or similar.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong analytical and problem-solving skills with the ability to work with large datasets and derive actionable insights.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
- Knowledge of natural language processing (NLP) and computer vision techniques.
Responsibilities
- Design, develop, and deploy machine learning models and AI-driven solutions tailored to the needs of aging services and post-acute care.
- Work on GenAI use cases, developing innovative applications and tools that enhance the aging care experience.
- Perform data analysis and processing to extract meaningful insights and improve model performance.
- Continuously monitor and optimize AI models to ensure their effectiveness and efficiency.
- Stay up-to-date with the latest advancements in AI, machine learning, and data science to apply best practices and novel techniques to our projects.
- Contribute to the development of AI-related documentation, including model documentation, technical reports, and user guides.
Other
- Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
- Excellent communication and teamwork skills with the ability to collaborate effectively with cross-functional teams.
- Passion for improving the quality of life for the aging population through innovative AI solutions.
- Experience in the healthcare or aging services industry.
- Understanding of ethical considerations and biases in AI models.
