Senior Machine Learning Engineer II
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build and integrate agent systems
- Build tools for model training and inference
- Collaborate with cross-functional teams to ship features
- Develop and deploy AI/ML solutions
- Fix bugs across ML pipelines data workflows and production systems
- Implement LLM based and generative AI applications
- Integrate models and AI agents with APIs
- Maintain production model services
- Monitor and evaluate model and agent performance
- Perform code reviews and enforce coding best practices
- Turn data science prototypes into production systems
- Write specifications and technical documentation
Perks/Benefits
- Annual Medical Checkup
- Birthday gifts
- Family care leave
- Festival Gifts
- Flexible benefits
- Life insurance
- Long service award
- Marriage Gifts
- Medical insurance
- New baby gifts
- Paid time off
- Sabbatical
- Shared parental leave
- Study assistance
Skills/Tech-stack
API Integration | AWS | Agent Frameworks | Apache Spark | Artificial Intelligence | Azure DevOps | CI/CD | Classification | Cloud platform | Data Modeling | Databricks | Distributed Computing | Embeddings | Generative AI | GitHub Actions | Go | Google Cloud | Google Cloud Platform | Graph Databases | Hadoop | Jenkins | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Evaluation | Natural Language | Natural Language Processing | Python | RAG | Retrieval-Augmented Generation | Rust | SQL | Sentiment Analysis | Text preprocessing | Topic Modeling | Vector Databases
Education
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