Agentic AI/ Data Scientist
Tasks
- Build ERP integration connectors
- Build reusable microservices for document extraction and anomaly detection
- Design multi agent orchestration workflows
- Develop exception detection classification routing logic
- Evaluate model performance and optimize accuracy latency cost
- Implement human in the loop handoffs
- Instrument AI services with logging tracing monitoring drift detection
- Support model monitoring and evaluation pipelines
- Translate finance business rules into configurable validation logic
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS SQS | AWS Step Functions | Agent systems | Agentic Frameworks | Anomaly Detection | Apache Airflow | Apache Kafka | Autogen | Cloud platform | CrewAI | Data extraction | Document Intelligence | Drift Detection | Dynamics 365 | Evaluation Pipelines | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Human-in-the-loop | Idempotency | Langgraph | Language Models | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | Microservices | Microsoft Azure | Microsoft Dynamics | Microsoft Dynamics 365 | Model Drift | Model Drift Detection | Model Monitoring | Multi-Agent | Multi-Agent Systems | NLP classification | OCR | Oracle | REST APIs | SAP | SOAP | Semantic Matching | Similarity Search | Step Functions | Temporal | The Loop | Vector similarity | Vector similarity search
Education
Bachelor of Engineering | Master of Engineering | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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