Sr Machine Learning Engineer III
CNY 240K-480K (estimate) Senior-level Full Time
Tasks
- Architect scalable AI ML platforms for training evaluation and low latency inference
- Build LLM based RAG and agent driven systems
- Create architectural documentation and platform standards
- Define and enforce MLOps best practices
- Design agent capabilities for tool use planning reasoning and memory
- Drive integration of AI ML services via APIs and microservices
- Establish evaluation frameworks define KPIs and improve model performance
- Lead design development deployment and operations of production AI ML systems
- Mentor engineers and lead resolution of technical challenges
- Monitor pipelines diagnose and resolve production issues
Perks/Benefits
- Adoption leave
- Annual Medical Checkup
- Family leave
- Flexible benefits
- Life insurance
- Long service award
- Medical insurance
- Paid time off
- Parental leave
- Sabbatical
- Study assistance
- Wellbeing initiatives
Skills/Tech-stack
API Design | AWS | Agent Frameworks | Azure DevOps | CI/CD | Cloud platform | Data Modeling | Databricks | Distributed Systems | Generative AI | GitHub Actions | Go | Google Cloud | Google Cloud Platform | Graph Databases | Infrastructure as Code | Jenkins | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft Azure | Natural Language | Natural Language Processing | Python | Retrieval-Augmented Generation | Rust | SQL | Spark | System Architecture | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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