Roles and Responsibilities

• Conduct requirements elicitation, translating these into clear and organized business requirement, and prioritizing development and delivery in close coordination with key stakeholders and management.
• Lead the design and implementation of AI/ML solutions using state-of-the-art large models (e.g., GPT, Llama, BERT), focusing on scenarios such as chatbot, intelligent Q&A, agent automation, semantic search, summarization, and decision support.
• Fine-tune, prompt-engineer, or customize pre-trained models on domain-specific data to improve task performance.
• Build and maintain pipelines for data collection, preprocessing, annotation, and model training/evaluation, ensuring robustness and scalability.
• Evaluate model performance through metrics, A/B testing, and human-in-the-loop validation to ensure alignment with business KPIs.
• Collaborate with data engineers and MLOps to deploy...