Senior Machine Learning Engineer II
China-Shanghai (Tianshan-W-Rd)
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build and integrate agent skills for production reliability
- Build tools and infrastructure for model training and inference
- Collaborate with cross-functional teams to ship new features
- Design LLM based and agent driven software architectures
- Develop and deploy LLM based and generative AI applications
- Develop deploy and maintain AI and ML solutions
- Document development processes, code, and APIs
- Finalize requirements with technical teams
- Fix complex bugs across ML pipelines data workflows and production systems
- Implement development processes, coding best practices, and code reviews
- Integrate models and AI agents with existing systems and APIs
- Monitor evaluate and improve model and agent performance
- Resolve complex technical issues
- Transform data science prototypes into production services
- Write and review AI ML software specifications
Perks/Benefits
- Annual Medical Checkup
- Flexible benefits
- Life insurance
- Long service award
- Medical insurance
- Paid time off
- Sabbatical
- Shared parental leave
- Study assistance
- Wellbeing initiatives
Skills/Tech-stack
API Integration | AWS | Agile | Apache Spark | Artificial Intelligence | 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 analytics | Hadoop | Jenkins | LLM | Language Processing | MLOps | Machine Learning | Microservices | Microsoft Azure | Model Evaluation | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | SQL | Search Technologies | Sentiment Analysis | Text Classification | Topic Modeling | Vector Databases | Vector Search
Education
N/A
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