AI Architect - Databricks
AUD 140K-180K (estimate) Senior-level Contract Full Time
Tasks
- Architect data ingestion and feature engineering
- Build AI ML pipelines for training deployment monitoring
- Design LLM generative AI solutions
- Design enterprise AI ML architecture using Databricks
- Develop RAG solutions using vector search
- Establish data quality security compliance and responsible AI practices
- Implement MLOps and LLMOps frameworks
- Lead model registry and automated deployments
- Provide technical leadership and architecture reviews
- Translate business use cases into production AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Azure | CI/CD | Compliance | Data Governance | Data Ingestion | Data Quality | Databricks | Databricks Lakehouse | Databricks Workflows | Delta Lake | Distributed Computing | ELT | ETL | Embeddings | Feature Engineering | Generative AI | Google Cloud | Hugging Face | LLMOps | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Registry | Observability | OpenAI | Prompt orchestration) | PySpark | Python | RAG | SQL | Scalability | Security | Spark | Unity Catalog | Vector Databases | Web Services
Education
N/A
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
Regions
Countries
States
Cities
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