Programming in Python and SQL to maintain and improve the codebase for existing systems with relevant programming languages, frameworks, and platforms.
Maintain robust, scalable data pipelines (batch and streaming) to ingest, process, and store structured and unstructured data, including the opportunity to work with real-time data.
Monitor, support and optimize ETL/ELT workflows.
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deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
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Strong foundation in Structural Engineering and Civil Engineering, with the ability to apply engineering principles to building and infrastructure projects.
Proficiency in Structural Analysis and detailed Calculations for a range of structural systems and materials.
Hands-on experience with Computer-Aided Design (CAD) tools for creating and reviewing engineering drawings and 3D models.
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Maintain a cGMP compliant environment and operate within FDA guidelines for 21CFR820 manufacturing.
Follow all policies and procedures including safety and quality standards.
Perform equipment setup, operation, repair, and weekly preventative maintenance tasks to meet all standards for safety, quality, and efficiency. These tasks must be completed under minimal supervision.
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Analyse, design, and develop IT solutions which includes a range of activities from designing, debugging, coding, unit/automated testing and documenting, building and launching new features.
Address problems of system integration, compatibility and multiple platforms.
Troubleshoot production problem related to software application.
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