AI Engineer | Hybrid - Centris/Makati
A PHP 420K-456K (estimate) Mid-level Full Time
Tasks
- Build RAG architecture
- Build feature engineering and inference patterns
- Design build deploy AI ML solutions
- Develop operationalize machine learning models
- Document AI models features pipelines and assumptions
- Ensure production ready AI services
- Implement generative AI with LLMs
- Implement monitoring logging performance tuning
- Implement responsible AI governance
- Integrate AI outputs into dashboards and business processes
- Integrate AI with data pipelines
- Participate in agile delivery practices
- Translate model outputs into business insights
- Use prompt engineering
Perks/Benefits
Skills/Tech-stack
Azure DevOps | Azure Machine Learning | CI/CD | Cognitive Services | Databricks | Delta Lake | Feature Engineering | Generative AI | Git | Inference Pipelines | Lakehouse Architecture | Language Models | Large Language Models | Logging | MLflow | Machine Learning | Microsoft Fabric | Model Deployment | Model Evaluation | Model Registry | Model Serving | Model Training | Monitoring | Observability | OpenAI | Performance Tuning | Prompt engineering | Python | RAG | Retraining | SQL | Supervised Learning | Unsupervised Learning
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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