Applied AI Engineer
Tasks
- Build document intelligence pipelines
- Build entity intelligence systems
- Build prediction and decision support models
- Create evaluation and feedback loops
- Deploy models and monitor performance
- Develop anomaly detection models
- Develop classification models
- Embed with business teams end to end
- Extract and classify documents
- Implement Knowledge Graphs
- Implement data enrichment pipelines
- Implement human-in-the-loop checkpoints
- Integrate tools and orchestrate agents
- Manage agent state and auditability
- Own agentic process automation
- Perform entity resolution
- Reverse engineer manual workflows
- Turn solutions into reusable capabilities
Perks/Benefits
Skills/Tech-stack
Agentic Systems | Anomaly Detection | Artificial Intelligence | Classification | Data Enrichment | Data leakage | Document Classification | Entity Resolution | Evals | Evaluation | Feature Engineering | Forecasting | Information Extraction | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Model Drift | Model Validation | Monitoring | Orchestration | Overfitting | Python | Retrieval-Augmented Generation | Structured Output | Supervised Learning | Tool use
Education
Roles
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