Python - AI Engineer Contractor
Tasks
- Apply LLMOps and MLOps practices
- Build GenAI applications
- Build knowledge graph and ontology extraction systems
- Build scalable REST APIs
- Deploy AI workloads to cloud
- Design and deploy RAG and GenAI services
- Develop autonomous AI “Agents”
- Develop embedding based systems
- Implement LLM evaluation frameworks
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Automated testing | Azure | CI/CD | Cloud platform | Docker | Embeddings | FastAPI | Google Cloud | Google Cloud Platform | GraphRAG | Knowledge graphs | Langsmith | Language Models | Large Language Models | MLOps | Monitoring | Ontology extraction | Prompt/version management | Python | REST APIs | Ragas | Retrieval-Augmented Generation | Version Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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