Sr Machine Learning Engineer III
China-Shanghai (Tianshan-W-Rd)
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Architect and evolve shared model training and inference platforms
- Build LLM based RAG and agent driven systems
- Define standardize and implement MLOps best practices
- Design agent capabilities tool use planning reasoning memory
- Design scalable AI/ML systems
- Develop deploy and operate production AI ML pipelines
- Diagnose and resolve issues across ML pipelines and distributed environments
- Ensure robustness observability and reliability in production
- Establish evaluation frameworks define KPIs improve model performance
- Integrate AI ML services via APIs and microservices
- Own system level architecture and technical design reviews
Perks/Benefits
- Annual Medical Checkup
- Flexible benefits
- Long service award
- Medical and life insurance
- Paid time off
- Sabbatical
- Shared parental leave
- Study assistance
Skills/Tech-stack
API Design | AWS | Agile | Azure DevOps | CI/CD | Data Modeling | Data Pipelines | Databricks | Distributed Systems | Embeddings | GitHub Actions | Go | Google Cloud | Graph Databases | Infrastructure as Code | Jenkins | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Azure | NLP | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | Rust | SQL | Spark | System design | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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