drjobs Machine Learning Engineer العربية

Machine Learning Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Cairo - Egypt

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Job Scope:
The Machine Learning Engineer specialized in Deep Learning and 3D Computer Vision to develop and deploy models for medical imaging applications. You will lead the full ML lifecycle from design to deployment using MLOps best practices collaborate with crossfunctional teams and stay up to date with the latest research to drive innovation in AIpowered healthcare solutions.

Requirements

Job Requirements:
Bachelor s or advanced degree in Computer Science Engineering or a related field.
1 4 years of industry experience in designing and implementing deep learning models particularly in 3D computer vision for medical imaging.
Proficient in Python with strong handson experience using PyTorch.
Familiarity with DICOM medical imaging data and related tools such as MONAI and VTK.
Experience with MLOps tools including Weights & Biases Git and environment management (Conda Linux).
Knowledge of cloud platforms (AWS GCP or Azure) and model deployment tools like TensorRT or OpenVINO.
Solid understanding of software development best practices and version control.

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.