Job Responsibilities

1. Responsible for the design and development of Lenovo LHCP system modules, including but not limited to: service health assessment, anomaly detection, capacity estimation, traffic forecasting, risk prediction, and root cause analysis of failures.
2. Participate in / lead the design and development of algorithms for IT application operations, including: time series anomaly detection, log anomaly detection, multi-metric correlation analysis, time series forecasting, and service capacity estimation.
3. Participate in/ lead the construction of a general intelligent operations platform for application systems.
4. Leverage the company’s infrastructure to provide foundational datasets, labelled data, data cleaning processes, model training, and runtime frameworks for the above use cases.
5. Collaborate with product managers and Lenovo’s internal IT operations teams to build automated operations capabilities applicable to multiple business scenarios.
6. Research and apply technologies such as LLMs, rule engines, graph databases, and anomaly detection models to intelligent operations (AIOps) scenarios.

Job Requirements

Experience: 5+ years

Education: Bachelor’s degree or above

1. Proficient in Python. Knowledge of Java or Go is a plus.
2. Familiar with common machine learning algorithms and deep learning frameworks such as TensorFlow / PyTorch, including but not limited to regression, classification, clustering, anomaly detection, time series forecasting, natural language processing and association rules.
3. Familiar with generative AI technologies; candidates with hands-on experience in generative AI application development or large language model fine-tuning are preferred.
4. Experience with anomaly detection, risk prediction, and capacity / traffic forecasting algorithms, or experience in IT operations development, is preferred.
5. Strong communication skills, good English reading ability, and a strong spirit of exploration; able to identify cutting-edge technologies in industry and academia and effectively adapt and apply them in real-world scenarios.