Develop advanced AI/ML algorithms for analysis and interpretation of ultrasound image data.
Translate clinical and product requirements into robust algorithmic solutions.
Definie data requirements for training and validating AI models.
Collaborate with cross-functional teams on integration testing and deployment.
Prepare internal and regulatory documentation.
. or Ph.D. in Electrical Engineering Computer Science Biomedical Engineering Mathematics or equivalent experience.
4 years of hands-on experience in image processing/computer vision (segmentation detection classification).
4 years of experience developing ML/DL algorithms using frameworks such as PyTorch TensorFlow or Keras.
Strong programming skills in Python and/or C for scalable efficient software development.
Preferred: Experience with medical imaging.
Strong problem-solving and leadership skills.
Self-starter with the ability to work independently and take ownership of tasks.
Excellent communication and collaboration abilities in a multicultural environment.
Solid system-level understanding.
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We will not sponsor individuals for employment visas now or in the future for this job opening.GE HealthCare offers a great work environment professional development challenging careers and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: No
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients