Cloud DataArchitect
Tasks
- Apply MLOps practices for model deployment
- Build RAG implementations
- Build and deploy scalable resilient performant enterprise solutions
- Design and implement REST APIs
- Design and implement WebSocket APIs
- Design data architecture for AI ML systems
- Develop UI components with React or Streamlit
- Develop agentic automation frameworks for business processes
- Develop and deploy large language model solutions
- Implement fine tuning and deployment strategies for LLMs
- Integrate messaging systems for data and service workflows
- Manage agile projects and deliver solutions
- Perform data analysis and data manipulation using SQL and Pandas
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Frameworks | ChromaDB | Faiss | Fine Tuning | Flask | Golang | JMS | JavaScript | Kafka | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | MQ | MongoDB | Oracle | Pandas | Pinecone | PostgreSQL | Python | RAG | REST APIs | React | Retrieval-Augmented Generation | SQL | Spring AI | Spring Boot | Streamlit | Transformers | TypeScript | Vector Stores | WebSocket
Education
N/A
Roles
AI | AI Engineer | Architect | Cloud Data Architect | Cloud) | Data Architect | Engineer | Learning Engineer | Machine Learning Engineer
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