Python - AI Engineer Contractor
Tasks
- Apply LLMOps and MLOps practices
- Build GenAI applications using foundation models
- Build scalable REST APIs for LLM applications
- Deploy AI services on cloud platforms
- Design and deploy RAG and GenAI services
- Develop autonomous AI “Agents”
- Develop systems using embeddings and knowledge graphs
- Extract ontologies and knowledge graphs
- Implement LLM evaluation frameworks
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Cloud platform | Docker | Embeddings | FastAPI | Google Cloud | Google Cloud Platform | GraphRAG | Knowledge graphs | LLMOps | Langsmith | Language Models | Large Language Models | MLOps | Model Evaluation | Ontology extraction | Prompt engineering | Python | REST APIs | Ragas | Retrieval-Augmented Generation
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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