Machine Learning Engineer (Computer Vision)

Location: On-site or Hybrid (Zagreb)
Job Type: Full-Time
Experience Level: Junior / Mid / Senior

Salary Gross (Bruto 1):

Junior: 2500-3200 Eur

Mid: 3200-4200 Eur

Senior: 4200+ Eur

Become part of the team building medical imaging software that helps clinicians make better decisions. You will work on computer vision models for real clinical use, developing AI-powered algorithms to analyze medical imaging data including MRI, CT, and X-ray. Our multidisciplinary team of radiologists, ML engineers, and software engineers collaborates to transform raw imaging data into actionable clinical insights. 

We're particularly interested in junior and mid-level engineers looking to deepen their ML expertise in a medical context. We'll tailor the role's scope and expectations to match your experience and growth trajectory. 

Key Responsibilities

• Design, train, test, and optimize deep learning models (image segmentation, classification, object detection,...)

• Build robust pipelines for data processing, model training, and inference

• Design and test algorithms on top of deep learning backbones to extract medical insights from images

• Collaborate with radiologists and software engineers to deliver production-grade solutions

• Contribute to research discussions and stay up to date with recent advancements

Requirements

• Hands-on experience with computer vision 

• Solid understanding of computer vision architectures and techniques

• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow

• Familiarity with software engineering best practices, including Git, Docker, and CI/CD pipelines

• Good understanding of data structures, algorithms, and linear algebra

• Excellent communication and teamwork skills

Nice to Have

• Background in applying machine learning to medical data or clinical workflows.

• Experience with edge deployment and inference optimization

• Knowledge of radiology workflows and medical data formats (DICOM, HL7, FHIR)

• Public GitHub or portfolio showcasing real-world ML projects

Why Should You Join?

• Be part of an innovative early-stage startup with a mission to improve healthcare

• Competitive salary and career growth opportunities

• Work on challenging and impactful medical software solutions

• A collaborative and flexible work environment
  
  

How to Apply

Send your CV to careers@medaibravo.com