AI/ML Engineer

Qualifications:

• Bachelor’s / Master’s in Computer Science, Electrical Engineering, Biomedical Engineering, AI/ML, Signal Processing, Applied Mathematics, or related fields

Skills:

1. Strong fundamentals in machine learning, deep learning, computer vision, and image processing
2. Hands-on experience with Python and frameworks such as PyTorch
3. Familiarity with medical imaging, image analysis, or computer vision workflows is a plus
4. Strong analytical and problem-solving skills
5. Prior AI/ML projects, internships, or research experience preferred

Main Responsibilities:

1. Develop and evaluate AI/ML algorithms for MRI image analysis and automation
2. Build pipelines for image segmentation, classification, detection, quantification, and workflow optimization
3. Train, validate, and optimize deep learning models using medical imaging datasets
4. Develop scalable data processing and model inference pipelines
5. Collaborate with domain experts and engineering teams to translate algorithms into deployable solutions