Senior Machine Learning Engineer II
China-Shanghai (Tianshan-W-Rd)
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build model training and inference infrastructure
- Collaborate with cross-functional teams to ship features
- Design software architectures for LLM based and agent driven systems
- Develop agent capabilities for tool usage planning and memory
- Develop and deploy AI/ML solutions
- Document development processes, code, and APIs
- Finalize requirements with technical stakeholders
- Fix bugs across ML pipelines and production systems
- Implement development processes and code reviews
- Integrate LLM based generative AI applications including RAG systems
- Integrate models and AI agents with existing systems and APIs
- Maintain production AI ML services
- Monitor evaluate and improve model and agent performance
- Turn data science prototypes into production services
- Write and review AI ML software specifications
Perks/Benefits
- Flexible benefits
- Life insurance
- Long service award
- Medical insurance
- Paid time off
- Sabbatical
- Shared parental leave
- Sick leave
- Study assistance
Skills/Tech-stack
API Integration | AWS | Artificial Intelligence | Azure | Azure DevOps | CI/CD | Cloud Platforms | Databricks | Deep learning | Distributed Computing | Embeddings | Generative AI | GitHub Actions | Google Cloud | Graph Databases | Hadoop | Jenkins | LLM | MLOps | Machine Learning | Microservices | NLP | Python | RAG | SQL | Sentiment Analysis | Spark | Topic Modeling | Vector Databases
Education
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