Senior Machine Learning Engineer I
China-Shanghai (Tianshan-W-Rd)
CNY 360K-600K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build Retrieval Augmented Generation systems
- Build tools for model training and inference
- Collaborate cross functional teams to ship new features
- Deploy and maintain production model services
- Develop agent skills for tool use planning reasoning and memory
- Develop scalable AI/ML solutions
- Document development processes, code, and APIs
- Finalize requirements with technical personnel
- Fix complex bugs across ML pipelines and production systems
- Implement LLM based and generative AI applications
- Implement coding best practices and conduct code reviews
- Integrate models and AI agents with APIs and existing systems
- Monitor evaluate and improve model and agent performance
- Write and review AI ML system specifications
Perks/Benefits
- Annual Medical Checkup
- Flexible benefits
- Life insurance
- Long service award
- Marriage leave
- Maternity & paternity leave
- Medical insurance
- Paid time off
- Sabbaticals
- Shared Parental Leave Adoption Leave
- Shared parental leave
- Study assistance
Skills/Tech-stack
API Integration | AWS | Agent Frameworks | Agile | Azure | Azure DevOps | CI/CD | Code review | Databricks | Distributed Computing | Embeddings | Generative AI | GitHub Actions | Google Cloud | Graph Databases | Hadoop | Jenkins | LLM | Language Processing | MLOps | Machine Learning | Microservices | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | SQL | Sentiment Analysis | Spark | Text preprocessing | Topic Modeling | Vector Databases
Education
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