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Lenovo
AI

AIOps Advisory Researcher

Lenovo · Anywhere · $45k - $68k

Actively hiring Posted 8 months ago

About the position

Responsibilities

  • Design and implement cutting-edge AI models tailored for server failure diagnosis and anomaly detection.
  • Leverage time-series analysis techniques to model and predict system behavior, identifying potential faults or irregularities based on historical data trends.
  • Integrate machine learning algorithms to provide real-time predictions and root cause analysis.
  • Refine data models to improve diagnostic accuracy and system reliability in mission-critical environments.
  • Bridge communication and facilitate collaboration between ICI Lab China and ISG/SSG WW teams on multiple critical business projects.
  • Manage data, models, and infrastructure to align with BIS compliance.

Requirements

  • 5+ years of relevant work experience in coding and data management.
  • Fluent in Chinese communication with professional proficiency in reading/writing technical documentation.
  • Expertise in data management, data cleaning, feature engineering, and end-to-end ETL pipeline design.
  • Advanced performance tuning experience with relational databases (MySQL/PostgreSQL) and NoSQL databases (MongoDB/Cassandra).
  • Proficient in server hardware management, including hardware troubleshooting, cluster maintenance, and performance optimization for large-scale computing environments.

Nice-to-haves

  • Master's degree or higher in Computer Science, Software Engineering, or related fields.
  • Experience in NLP, machine learning, deep learning, data mining, or pattern recognition.
  • Strong familiarity with LSTM/CNN/RNN architectures.
  • Experience with BERT, LLMs (Large Language Models), or related transformer-based models.
  • Proficient in at least one machine learning framework (TensorFlow/PyTorch/Keras) with production-level implementation experience.
  • Experience with Spark/Flink for building PB-scale data processing pipelines.
  • Working knowledge of data lake technologies (Delta Lake/Hudi) and cloud data warehouses (Snowflake/Redshift).

Tags & focus areas

Used for matching and alerts on DevFound
Research Remote Tensorflow Pytorch Keras Spark Fulltime
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