Senior Machine Learning Engineer II
China-Shanghai (Tianshan-W-Rd)
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Automate MLOps workflows
- Build tools and infrastructure for model training and inference
- Collaborate to define, design, and ship new features
- Design LLM based and agent driven architectures
- Develop deploy and maintain AI ML solutions
- Document development processes, code, and APIs
- Finalize requirements with technical teams
- Fix complex bugs across ML pipelines and production systems
- Implement coding best practices and conduct code reviews
- Integrate models and AI agents with existing systems and APIs
- Monitor evaluate and improve model and agent performance
- Translate 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
Skills/Tech-stack
API Integration | AWS | Apache Spark | Artificial Intelligence | Azure DevOps | CI/CD | Cloud platform | Data Modeling | Databricks | Distributed Computing | Docker | Embeddings | Generative AI | GitHub Actions | Google Cloud | Google Cloud Platform | Graph Databases | Hadoop | Jenkins | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Azure | NLP | Natural Language | Natural Language Processing | Python | RAG | SQL | Vector Databases
Education
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