AI Engineer
PHP 456K-504K (estimate) Senior-level Full Time
Tasks
- Build tool using AI agents
- Deploy ML models as APIs and batch jobs
- Develop RAG pipelines with ingestion chunking embeddings retrieval and reranking
- Engineer ML features and build classification regression ranking and forecasting models
- Implement MLOps with CI CD experiment tracking and model registry versioning
- Implement agent orchestration with graph state machine patterns
- Implement agentic RAG retrieval and tool use loops with confidence scoring
- Monitor model drift data quality and performance degradation
- Optimize retrieval quality with hybrid search metadata filters and prompt grounding
- Use Azure and model providers for production AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AKS | Anaconda | App Insights | App Service | Azure AI | Azure AI Search | Azure App | Azure App Insights | Azure App Service | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure Key Vault | Azure Monitor | Azure OpenAI | Blob Storage | CI/CD | Cross-validation | Data Lake Storage | Data Quality | Data Quality Checks | Docker | Drift Detection | Embeddings | Experiment tracking | FastAPI | Git | Google Gemini | Hybrid search | Key Vault | LLM | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | OpenAI | Pip | PyTorch | Python | Quality checks | RAG | Reranking | Scikit-learn | TensorFlow | Vector Databases | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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