Computer Vision ML Engineer

Poly Mind is a high-growth startup focusing on proprietary AI research to solve healthcare and insurance issues that are prominent in the industry. Inspired by quantitative finance techniques and modern computational neuroscience methodologies, we build solutions for patient assistance programs and other entities in the healthcare and insurance ecosystems that optimize on key metrics and lift operational overhead from these organizations.

We achieve this by our largest goal of well solution engineered automation techniques through the breadth and expertise of our people.

This is a contractor role for a remote Computer Vision [ML] Engineer. The Computer Vision Engineer will be responsible for developing, implementing, and optimizing computer vision algorithms and systems. Day-to-day tasks may include designing and training machine learning models, analyzing data for pattern recognition and optimization in the ecosystem of our product, collaborating with cross-functional teams to develop robotics applications, and ensuring system performance and scalability.

The candidate will also be responsible for integrating computer vision systems into real-world applications to solve complex problems. This role is focused on document processing and applying effective computer vision methodologies to alleviate client's operational overhead.

• Expertise in Computer Vision and Pattern Recognition techniques
• Minimum of 5+ years of experience in computer vision and ML for an entry to mid level position and minimum of 10-15+ years of experience for a senior level position. Currently focused on senior positions within our organization
• Strong understanding of core concepts in Computer Science and Data Science
• Experience in Robotics and Robotics Process Automation
• Proficiency in programming languages such as Python, C++, or similar, and experience with relevant libraries like OpenCV, Tensor Flow, or Py Torch
• Strong AWS experience:
  IaC with Terraform, using modern computer vision and ML techniques within AWS, Dev Ops and deployment experience
• Strong problem-solving skills and the ability to work in a collaborative team environment
• Master's or PhD in Computer Science, Data Science, Electrical Engineering, or a related field is preferred. Program specialties in computer vision treated as a major plus
• Must have applied computer vision or ML techniques in real production projects at companies
• Agentic AI and MAS understanding is a plus
• Understanding of basic cognitive architecture methodologies is a major plus
• Understanding of computational neuroscience techniques with computer vision is a major plus
• Must be able to understand and digest proprietary AI, quant, and computer vision research and use it effectively to create solutions described
• Healthcare and insurance industry experience highly preferred
• Must have had prior experience with document processing