AI Engineer (Data / ML Platform)
Tasks
- Build ML pipelines and model deployment workflows
- Build services to expose machine learning models and AI capabilities
- Design and build scalable data pipelines
- Develop AI platform tooling
- Develop machine learning ready data infrastructure
- Implement data governance data quality and observability
- Implement data ingestion transformation and feature engineering pipelines
- Integrate AI functionality into modern healthcare platforms
- Migrate legacy data architectures to cloud native platforms
Perks/Benefits
- N/A
Skills/Tech-stack
API Architecture | AWS | Apache Airflow | Cloud Native | Data Governance | Data Ingestion | Data Pipelines | Data Quality | Data Transformation | Distributed Systems | Feature Engineering | Feature Stores | Google Cloud | Machine Learning | Microservices | Microsoft Azure | Observability | Python | Spark | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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