Research DataOps Engineer implementing a Data Lake House for AI and Analytics at Caristo Diagnostics. Join an innovative healthcare start-up focused on transforming cardiovascular care.
Responsibilities
Design and build a secure Data Lake House infrastructure to support AI and Data Analytics Research
Manage Cloud/On-premises compute resources to achieve research objectives
Contribute to MLOps pipeline for translation of Research Algorithms to Product
Collaborate with researchers, academic partners, product team, and image analysts
Manage cohorts of test data according to GDPR and other data privacy regulations
Requirements
Background in research (academic and/or industry)
Degree in Physics or Mathematics or related discipline
Experience with unstructured and structured data pipelines including large image datasets
Knowledge of modern data warehousing and data lake technologies
Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods
Linux system administration
AWS and GCP administration
Experience with GPU cluster and Linux server administration
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