Machine Learning Engineer, AI Applications - Shenzhen
Tasks
- Apply prompt engineering
- Automate workflows with AI
- Build machine learning workflows
- Clean and transform data
- Conduct feature engineering
- Create chatbot assistant experiences
- Detect anomalies
- Develop recommendation systems
- Develop text classification solutions
- Document technical approaches and findings
- Evaluate machine learning models
- Implement LLM API integrations
- Integrate AI capabilities into enterprise systems
- Integrate machine learning models
- Monitor model and application performance
- Perform data preparation
- Set up MLOps practices
- Support development of AI applications
- Test and deploy AI applications
- Track experiments
- Translate business problems into AI solutions
- Tune model performance
- Use retrieval augmented generation approaches
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Anomaly Detection | Backend integration | Data Pipelines | Data Processing | Experiment tracking | Feature Engineering | Inference | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Prompt engineering | Python | Recommendation Systems | Retrieval-Augmented Generation | Statistics | Text Classification | Version control | Workflow automation
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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