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- Expert, with a minimum of 10 years of experience in data science or a related field, to perform all necessary activities to implement a robust AI modules, pipelines, solution and services for advanced AI technologies
- Develop scalable backend infrastructure to support real-time data ingestion, model inference, and user access.
- Implement components to consume and process events from streaming output sources in real-time, utilizing event-driven architecture patterns.
- Utilize microservices and agentic architecture for scalability and to support the dynamic addition of new features.
- Build a scalable real-time data ingestion pipeline that covers data preprocessing, normalization, labelling, transformation, feature engineering, and storage across multiple data streams
Requirements
- Bachelor’s in data science (or equivalent). Masters preferred
- minimum of 10 years of experience in data science or a related field, to perform all necessary activities to implement a robust AI modules, pipelines, solution and services for advanced AI technologies.
