AI/ML Engineer
CNY 240K-360K (estimate) Mid-level Full Time
Tasks
- Architect scalable reusable AI products
- Build ML DL and statistical models
- Collaborate with stakeholders to identify data driven innovation
- Conduct data processing and feature engineering
- Design build deploy production grade AI agents
- Develop reusable agent components and development patterns
- Evaluate models and agents
- Implement agent tool and agent data integrations
- Improve Agile workflows
- Translate complex problems into analytics and AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Agent systems | Agile Development | CD pipelines | CI/CD | CI/CD pipelines | Data Pipelines | Data Processing | Data pipeline | Data pipeline automation | Databricks | Deep learning | Embeddings | Feature Engineering | Git | GitLab CI | GitLab CI/CD | LLM Applications | Langchain | Langgraph | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Multimodal AI | Multimodal Models | Pipeline Automation | Production Deployment | Python | RAG | RAG Architecture | SQL | Statistical modeling | Testing | Tool Using | Tool-using agents | Vector Databases | Version control
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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