Development and integration of novel AI solutions in the data integration pipelines, designing test and production environments, and Software deployment - o Hands-on experience in data engineering (ETL / ELT, APIs, microservices), interoperability (HL7® / FHIR®), data quality, and data modeling - o Security & privacy by design in clinical IT (e.g., IAM / role-based access, logging / auditing, pseudonymization, consent workflows) o Solid Python (and R) skills; experience with SQL / NoSQL; container / orchestration know-how is a plus - o Hands-on experience on Deployment and Operations * Nice-to-haves: Experience with MLOps / model serving, observability stacks, cloud / hybrid infrastructure (e.g., Azure), frontend prototyping / dashboards
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