AI Engineer
2 weeks ago
Role & responsibilities
- Develop and integrate AI-driven business rules for data validation, routing, and exception handling.
- Build and deploy machine learning models for anomaly detection and decision support.
- Work with open-weight LLMs and RAG pipelines to support reasoning and compliance.
- Integrate AI services into APIs and back-end workflows.
- Ensure solutions meet security, compliance, and auditability standards.
Preferred candidate profile
- 35 years' experience in AI/ML engineering.
- Proficiency in Python, PyTorch/TensorFlow.
- Familiarity with vector databases, embeddings, prompt engineering.
- Exposure to Azure ML or on-prem ML deployments is a plus.
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