AI Engineer

Description

Expert, with a minimum of 10 years of experience in data science or a related field, to perform all necessary activities to implement robust AI modules, pipelines, solutions, 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, labeling, 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 robust AI modules, pipelines, solutions, and services for advanced AI technologies.