Senior Machine Learning Engineer II
China-Shanghai (Tianshan-W-Rd)
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build infrastructure for model training and inference
- Collaborate with cross-functional teams to ship features
- Design software architectures for LLM based and agent driven systems
- Develop and integrate agent tool usage planning reasoning memory
- Develop deploy maintain scalable AI ML solutions
- Document development processes, code, and APIs
- Finalize requirements with technical teams
- Fix complex bugs across ML pipelines and production systems
- Implement development processes, coding best practices, and code reviews
- Integrate LLM and generative AI applications including RAG
- Integrate models and AI agents with existing systems and APIs
- Monitor evaluate and improve model and agent performance
- Turn data science prototypes into production services
- Write review specifications for AI ML software
Perks/Benefits
- Annual Medical Checkup
- Family care leave
- Flexible benefits
- Life insurance
- Long service award
- Medical insurance
- Paid time off
- Sabbatical
- Shared parental leave
- Study assistance
Skills/Tech-stack
API Integration | AWS | Agent Framework | Azure DevOps | CI/CD | Cloud Computing | Cloud platform | Data Modeling | Databricks | Distributed Computing | Docker | Embeddings | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Graph Database | Graph analytics | Hadoop | Jenkins | Kubernetes | LLM | Langchain | Llamaindex | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Evaluation | NLP | Python | RAG | SQL | Sentiment Analysis | Spark | Text Classification | Topic Modeling | Vector Database | Vector Search
Education
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