Lead AI Engineer
Tasks
- Architect data pipelines for embeddings and vector search
- Build AI copilots
- Build email to case automation
- Create summaries and call notes automation
- Deliver sentiment analysis and anomaly detection insights
- Deploy AI solutions with cloud AI services
- Develop AI models for case classification and routing
- Forecast case volumes
- Implement LLM and RAG knowledge retrieval
- Implement MLOps and CI CD for AI deployments
- Integrate AI services with CRM and contact center systems
- Lead AI architecture and governance
- Predict SLA using machine learning
- Use containerized deployments with Kubernetes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS AI | Autogen | Azure AI | CI/CD | Docker | Embeddings | Faiss | Gemini | Generative AI | Google Vertex | Google Vertex AI | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Milvus | NLP | Natural Language | Natural Language Processing | Python | RAG | Vector Database | Vector Search | Vertex AI | Weaviate
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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