Chief AI Scientist

Position Summary As the Chief AI Scientist, you will spearhead the development and deployment of cutting-edge AI technologies, particularly in LLM and NLP domains. Reporting directly to the CTO/CEO, you will drive strategic AI research, foster innovation, and collaborate with cross-functional teams to integrate AI solutions that enhance our products and services. This role demands a blend of technical expertise, leadership, and a passion for pushing the boundaries of AI.

Key Responsibilities

• Lead the AI research and development team, setting the vision and roadmap for LLM and NLP projects, including model training, fine-tuning, and optimization.
• Design and implement advanced LLM architectures (e.g., based on transformers like GPT, BERT, or similar) for applications such as natural language understanding, generation, sentiment analysis, and conversational AI.
• Oversee NLP initiatives, including text processing, entity recognition, machine translation, and semantic analysis, ensuring scalability and ethical AI practices.
• Collaborate with engineering, product, and data teams to deploy AI models into production, focusing on performance metrics like accuracy, latency, and resource efficiency.
• Mentor junior scientists and engineers, fostering a culture of innovation and continuous learning.
• Evaluate and integrate emerging AI tools, frameworks, and datasets to accelerate development.
• Ensure compliance with AI ethics, bias mitigation, data privacy regulations (e.g., GDPR), and responsible AI deployment.
• Partner with external stakeholders, including academia and industry leaders, to drive collaborative AI projects.

Required Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field; or equivalent professional experience.
• 10+ years of experience in AI research and development, with at least 5 years in leadership roles focused on LLM and NLP.
• Proven track record of developing and deploying production-grade LLM/NLP models, demonstrated through publications, patents, or successful projects.
• Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and NLP libraries (e.g., spaCy, NLTK).
• Strong understanding of deep learning architectures, including attention mechanisms, reinforcement learning from human feedback (RLHF), and multimodal integration.
• Experience with large-scale data handling, cloud computing (e.g., AWS, GCP), and distributed training systems.
• Excellent leadership and communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.

Do note that we will only be in touch if your application is shortlisted.
Robert Walters (Singapore) Pte Ltd
ROC No.: 199706961E | EA Licence No.: 03C5451
EA Registration No.: R1872517 Annie Ho