AI Engineer
PHP 600K-780K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines
- Build end-to-end machine learning pipelines
- Build tool using AI agents
- Create runbooks dashboards and incident playbooks
- Deploy ML models as APIs and batch jobs
- Implement MLOps with CI CD experiment tracking and model registry
- Implement agent orchestration
- Implement agentic RAG retrieval tool use loops
- Implement feature engineering and feature pipelines
- Implement human in the loop escalation
- Integrate with Azure AI Search and Azure Key Vault
- Set up production monitoring for drift data quality and latency
- Train, validate, and deploy ML models
- Tune retrieval quality with hybrid search reranking and citations
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Search | Agent Orchestration | Agentic RAG | Anaconda | App Insights | App Service | Application Insights | Azure AI | Azure AI Search | Azure App | 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 Analysis | Data Lake Storage | Data Leakage Prevention | Data leakage | Docker | Drift Detection | Embeddings | Exploratory Data Analysis | FastAPI | Feature Engineering | Generative AI | Git | Google Gemini | Grounded Responses | Human-in-the-loop | Hybrid search | Key Vault | Kubernetes | LLM | Language Models | Large Language Models | Leakage prevention | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Registry | Model calibration | OpenAI API | Pip | PyTorch | Python | RAG | Reranking | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | The Loop | Tool-Calling | Vector Search
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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