Senior AI Engineer - Remote Position in Digital Pathology

About the Role

We are looking for a Senior AI Engineer to join our innovative team at Qritive, a leading MedTech company specializing in advanced artificial intelligence (AI) for digital pathology. As a Senior AI Engineer, you will play a crucial role in developing clinically validated AI solutions that enhance diagnostic efficiency and patient care. This remote position offers the opportunity to bridge cutting-edge research with real-world clinical deployment, translating innovative algorithms into production-ready systems.

What You'll Do

• Build next-generation pathology AI models, focusing on deep learning solutions for whole-slide image (WSI) analysis, including object detection and image segmentation.
• Lead initiatives to enhance model accuracy and robustness, developing visual overlays and explainability tools to support clinical decision-making.
• Manage the full AI lifecycle from R&D to product deployment, executing experiments that translate research outcomes into production assets.
• Collaborate with software engineering teams to define scalable deployment architectures and optimize system performance.
• Work closely with pathologists to define clinical assessment strategies and contribute to validation planning consistent with clinical lab expectations.
• Promote industry best practices by leading code reviews and mentoring AI team members to ensure high standards of software quality.

Requirements

• Minimum of 6 years of experience in developing deep learning-based computer vision systems, with ownership of at least one production-grade deployment.
• Excellent proficiency in Python and PyTorch, with strong foundations in modern computer vision and machine learning methodologies.
• Proficiency in Linux-based and containerized development, with familiarity in model serving and monitoring in production.
• Hands-on experience with cloud service providers (AWS, GCP, or Azure) for AI model deployments.
• Proven ability to design rigorous evaluation frameworks that reflect real-world clinical use cases.

Nice to Have

• Master's or PhD in computer science, engineering, or related discipline.
• Prior experience in medical imaging or digital pathology, especially with whole-slide images.
• Familiarity with computational pathology software such as QuPath or CellProfiler.
• Experience with MLOps practices, including model drift monitoring and performance regression analysis.

What We Offer

• Competitive salary range of $140,000 - $180,000 per year.
• Flexible remote work options to maintain a healthy work-life balance.
• Opportunities for professional development and continuous learning.
• Collaborative and innovative work environment with a focus on cutting-edge technology.
• Support for health and wellness initiatives.