Senior AI Engineer

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. 5+ years of experience in AI engineering. Basic understanding of machine learning algorithms and deep learning models. Hands-on experience with Python and AI frameworks (PyTorch, TensorFlow). Strong experience in full-cycle model deployment, covering data optimization, iterative training, and stable production rollout. Understanding of model evaluation techniques and performance metrics.

Design, develop, and fine-tune machine learning (ML) models using frameworks such as PyTorch, TensorFlow, or Scikit-learn. Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning. Support research and development of AI applications in natural language processing (NLP) and abnormal detection. Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services. Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques. Lead the design and implementation of LLM-based business modules, driving deployment and integration into core products, with a strong ownership mindset over both data and business impact.