GE HealthCare Sr ML Operations Engineer 

Hungary, Szeged 

32155857

You will be mainly responsible for developing an analytics and intelligence software suite which enables early disease prediction by providing capabilities such as data collection, storage and sharing, traditional and AI analytics integration, hosting and execution, feature and prediction storage, hosting, sharing, and visualization.

You will work on a hybrid edge–cloud solution that is light on-premises and heavy on cloud, implemented in Amazon AWS. You will have the opportunity to participate in high-level design discussions to influence detailed software design, implement the solution, and guide others.

• Support the integration of AI models for IHI grants (Predictom, Synthia, and Thera4Care) and the national grant IMAGENE.

• Develop and maintain the AI Research Suite, a platform providing data connectivity, storage, AI analytics execution, and visualization of data and results.

• Collaborate with a cross-disciplinary team of data scientists, data engineers, software engineers, and medical professionals on commercially facing development projects involving large, complex data sets.

• Design, develop, and maintain data analytics frameworks, tools, and services.

• Evaluate new software tools through POCs and propose solutions for implementation.

• Document guides, systems design, reference architectures, and implementations.

You will be expected to design, develop, and maintain software frameworks, tools, and services. You need to have:

• Experience in Amazon AWS, microservices, and serverless technologies.

• Experience with inference deployment frameworks like ONNX, OpenVINO, TensorRT, etc.

• Practice strong software development/testing principles and best practices: Test-driven development (TDD), CI/CD, code refactoring, coding standards, etc.

• Evaluate new AI & software tools through POCs and propose solutions for implementation.

• Document guides, systems design, reference architectures, and implementations.

• Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics).

• 5+ years of professional experience.

• 2+ years of experience in public cloud infrastructure (AWS/other).

• Strong implementation experience with a variety of high-level languages and frameworks used in AWS server less environments.

• Knowledge in Machine Learning and Deep Learning is a plus.

• Excellent in Python, with knowledge of the features of the language, and best practices, coding conventions, relevant libraries.

• Experience in data visualization with 3rd party libraries (e.g., matplotlib, seaborn).

• Experience with VCS systems, specifically git.

• Experience with Linux (commands, bash scripting).

• Experience in writing documented & tested code and algorithms.

• Legal authorization to work in Hungary is required.

• Must be willing to work out of an office located in Budapest or Szeged.

• Experience in the healthcare industry.

• Experience in 3D imaging, with additional advantage in medical imaging.

• Experience in software packaging (e.g., RPM).