Job Description & How to Apply Below
Elevate dermatology with cutting-edge technology as a Machine Learning Engineer n a passionate R&D team focusing on the full ML lifecycle in a collaborative environment.
As a Machine Learning Engineer, you'll play an essential role in developing clinical-grade computer vision systems. Your expertise will cover everything from data acquisition to cloud deployment, helping shape solutions that aid dermatologists and patients on a global scale. You'll quickly prototype ideas, optimize performance, and collaborate with both technical and non-technical stakeholders.
Key Responsibilities:
• Understand business challenges and create AI solutions
• Work on the complete ML pipeline from data cleaning to deployment
• Rapidly prototype concepts and gauge MVP effort
• Develop tools for managing and cleaning medical image datasets
• Optimize models for deployment on AWS or GCP
Requirements:
• Master’s or PhD in Computer Science or equivalent experience
• 2+ years hands-on experience in machine learning
• Proficiency in Python and Py Torch
• Experience in computer vision and deploying models at scale
• Familiarity with Docker and CI/CD practices
Utilize your AI expertise to transform dermatology with Meta Optima's innovative technologies.
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×