AI/ML Engineer for Advanced Medical Simulations

Gaumard Scientific

Miami (FL)

On-site

USD 90,000 - 130,000

Full time

4 days ago
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Benefits offered by this job

Competitive Pay
Generous PTO
11 Paid Holidays
401k with employer match

Job summary

Gaumard Scientific is seeking a Machine Learning Engineer to join the software team in Miami, FL. You will help develop AI features for medical simulators, focusing on auto-learning through model training, speech, and image recognition, and work with UI and simulator behavior to create human-like experiences.

Responsibilities include designing, training, testing, deploying ML models, and collaborating with engineers and product teams to deliver continuous value to customers.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or Mathematics; Master’s degree or Ph.D. a plus.
  • Experience with machine learning, AI, image analysis and data analytics.
  • Experience with Python and Java.
  • Excellent written and verbal communication skills.

Responsibilities

  • Develop proprietary software for medical simulation.
  • Design, train, test, productize and deploy machine learning models.
  • Collaborate with engineers, management and product teams to deliver value to customers.
  • Define platform requirements with engineering and other departments and continuously improve products.
  • Work with other departments to integrate work across the company.

Skills

Python
Java
Machine Learning
Image Analysis
Data Analytics
Communication Skills

Education

Bachelor's degree in CS/Engineering/Math
Master's or PhD preferred

Job description

Gaumard Scientific is seeking a Machine Learning Engineer to join the software team in Miami, FL. You will help develop AI features for medical simulators, focusing on auto-learning through model training, speech, and image recognition, and work with UI and simulator behavior to create human-like experiences.

Responsibilities include designing, training, testing, deploying ML models, and collaborating with engineers and product teams to deliver continuous value to customers.

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