Digital & Intelligent Specialist (Risk Management)
Tasks
- Build AI agents with planning reflection and tool integration
- Deliver AI use case lifecycle
- Deploy AI services on premise or cloud
- Design and orchestrate AI agent workflows
- Fine tune models and optimize RAG
- Implement evaluation-driven development
- Manage AI use case implementation for risk management
- Optimize vector database performance
- Orchestrate APIs for agent integration with legacy systems
- Prepare data train models test deploy monitor and improve
- Select AI tools and models
- Troubleshoot performance latency and accuracy issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Orchestration | Agent Frameworks | Algorithms | Chain-of-Thought | Chain-of-Thought prompting | Data Mining | Few-Shot Learning | Few-shot | Fine Tuning | LLMOps | MLOps | Machine Learning | Model Evaluation | Model Training | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | System Architecture | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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