Computer Vision Engineer

This is a remote position.

Our US-based client is seeking a Computer Vision Engineer with expertise in semantic/instance segmentation to join our team. As a Computer Vision Engineer, you will play a crucial role in developing advanced dental diagnostic systems using state-of-the-art computer vision techniques. Your primary responsibility will be to design and implement instance segmentation algorithms to accurately identify and classify dental problems from X-ray and dental imagery.

Responsibilities:

• Develop and implement segmentation algorithms for dental image analysis.
  
• Utilize deep learning frameworks and computer vision libraries to train and fine-tune models for accurate dental problem detection.
  
• Collaborate with cross-functional teams to gather requirements and define system specifications.
  
• Evaluate and select appropriate data preprocessing techniques for dental image analysis.
  
• Optimize and improve existing computer vision algorithms to enhance accuracy and performance.
  
• Conduct thorough testing and validation of developed models to ensure reliability and robustness.
  
• Stay up to date with the latest advancements in computer vision and dental imaging technologies.
  
• Document and present research findings, methodologies, and algorithmic approaches to internal stakeholders and external partners.
  

What You'll Be Doing:

• Designing and implementing instance segmentation algorithms for dental problem diagnosis.
  
• Collaborating with a team of researchers, engineers, and dental professionals to define system requirements and objectives.
  
• Preprocessing and augmenting dental image datasets to improve model performance.
  
• Training, fine-tuning, and evaluating deep learning models for accurate dental problem detection.
  
• Analyzing and interpreting results to identify areas for improvement and optimization.
  
• Keeping up to date with the latest research and advancements in computer vision and dental imaging technologies.
  
• Documenting research findings, methodologies, and algorithms.
  
• Presenting research and development progress to internal teams and external partners.
  

Requirements

• A bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field.
  
• 5+ years of experience in computer vision, specifically in segmentation techniques.
  
• Proficiency in programming languages such as Python and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
  
• In-depth knowledge of classical computer vision algorithms (e.g., edge detection, image segmentation).
  
• Strong understanding of convolutional neural networks (CNNs) and their applications in image analysis.
  
• Experience in training and fine-tuning deep learning models for object detection and segmentation tasks.
  
• Familiarity with dental imaging modalities, such as X-ray and intraoral cameras.
  
• Excellent problem-solving skills and the ability to work independently or as part of a team.
  
• Strong communication skills and the ability to present complex technical concepts to non-technical stakeholders.
  
  

Benefits

•           10 days annual leave credits
  
•           5 days of sick leave