Machine Learning Engineer Lead
CNY 300K-500K (estimate) Senior-level Full Time
Tasks
- Build LLM powered RAG pipelines embeddings and fine tuning
- Build model serving API services
- Collaborate with Data Scientists to productionize models
- Define engineering standards and ML best practices
- Design modular reusable ML components
- Develop and deploy NLP classification and ranking models
- Drive technical roadmap alignment
- Enforce unit and integration testing and CI CD best practices
- Implement async programming and multiprocessing
- Implement feature engineering pipelines and model evaluation
- Lead AI services architecture and implementation
- Mentor ML engineers
- Partner with product legal data engineering and DevOps teams
- Review system design across data model and service layers
- Translate business requirements into AI engineering solutions
- Write production-quality Python code
Perks/Benefits
- Annual Medical Checkup
- Family care leave
- Flexible benefits
- Life insurance
- Long service award
- Medical insurance
- Paid time off
- Sabbatical
- Study assistance
Skills/Tech-stack
API Development | AWS | Anomaly Detection | Artificial Intelligence | Asynchronous programming | Azure | CI/CD | Classification | Cloud Computing | Cloud platform | Dependency management | DevOps | Distributed Systems | Docker | Embeddings | Entity Resolution | FastAPI | Feature Engineering | Fine Tuning | Flask | Generative AI | Google Cloud | Google Cloud Platform | Integration Testing | Kubernetes | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multiprocessing | NLP | Object-Oriented | Object-oriented design | PyTorch | Python | Ranking | Retrieval-Augmented Generation | Scikit-learn | Service Oriented | Service-Oriented Architecture | TensorFlow | Testing Frameworks | Type hinting | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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