Senior Machine Learning Engineer II
China-Shanghai (Tianshan-W-Rd)
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build LLM based generative AI applications
- Collaborate with cross-functional teams to ship features
- Convert data science prototypes to production services
- Debug ML pipelines and data workflows
- Deploy and maintain production models
- Develop scalable AI/ML solutions
- Document development processes, code, and APIs
- Implement agent based systems for tool use planning and reasoning
- Implement model training and inference infrastructure
- Integrate models and AI agents with existing systems and APIs
- Monitor evaluate and improve model and agent performance
- Translate product requirements into software designs
- Write and review code and specifications
Perks/Benefits
- Annual Medical Checkup
- Examination leave
- Family care leave
- Flexible benefits
- Life insurance
- Long service award
- Medical and Hospitalization Leave
- Medical insurance
- Paid time off
- Sabbatical
- Shared parental leave
- Study assistance
Skills/Tech-stack
API Integration | AWS | Artificial Intelligence | Azure | Azure DevOps | CI/CD | Cloud Computing | Cloud platform | Data Modeling | Databricks | Distributed Computing | Embeddings | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Graph Databases | Graph Neural Networks | Hadoop | Jenkins | LLM | MLOps | Machine Learning | Microservices | Model Deployment | NLP | Neural Networks | Python | SQL | Spark | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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