Analytics & AI Architect
Tasks
- Architect cloud-native data platforms
- Build Data Integration solutions
- Build and optimize data ecosystems
- Design ETL ELT frameworks and data pipelines
- Design and implement enterprise scale data and AI architectures
- Design end-to-end analytics platforms
- Ensure data security and compliance
- Establish data governance and data quality standards
- Implement AI solutions with RAG
- Implement MLOps frameworks
- Lead architecture workshops and technical discovery sessions
- Lead data and AI transformation initiatives
- Mentor junior team members
- Support machine learning and generative ai initiatives
- Translate business requirements into technical architectures
Perks/Benefits
- Company laptop
- Continuous learning
- Exposure to international clients
- Hybrid work model
- Professional development
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Spark | Azure Machine Learning | Cloud platform | Compliance | Data Governance | Data Lineage | Data Quality | Data Security | Databricks | Docker | ELT | ETL | Google Cloud | Google Cloud Platform | Kubernetes | Lakehouse | MLOps | MLflow | Machine Learning | Microsoft Azure | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Vector Databases
Education
Roles
AI | AI Architect | Analytics | Analytics Engineer | Architect | Data Architect | Engineer
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