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GE HealthCare Staff AI Scientist 
India, Karnataka 
617572953

15.08.2024
The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.


Roles and Responsibilities

In this role, you will:

  • Develop AI models that address customer needs and opportunities.

  • Develop research prototypes (with data understanding and appropriate evaluation metrics) under minimal guidance in a team setting

  • Work on data quality assessment, data cleansing and data analytics

  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.

  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.

Education Qualifications:

PhD or Masters degree in Computer Science, a related field, or equivalent practical experience with a demonstrable track record of expertise in AI topics (Vision, Language, Multi-modality fusion etc.)

One or more scientific publication(s) in conferences, journals, or public repositories.


Technical Expertise:

  • Minimum 4+ years of coding experience.

  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

  • Knowledge of Image processing libraries in Python such as sitk and openCV.

  • Demonstrated awareness of data management methods

  • Demonstrated awareness of AI technology trends (Vision, Language, Multi-modality fusion etc.) applicable to the Healthcare domain

Inclusion and Diversity

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities.

Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.