Remote Computer Vision Engineer - AI Solutions
About the Role
We are seeking a talented Remote Computer Vision Engineer to join our innovative team at Scanifly. In this role, you will leverage your expertise in computer vision to develop cutting-edge solutions that drive the clean energy transition. As a Remote Computer Vision Engineer, you will work collaboratively with a dedicated team to create impactful applications that enhance the efficiency and safety of energy projects.
What You'll Do
- Develop and implement computer vision solutions for real-world applications.
- Utilize Python and C++ along with frameworks such as OpenCV and Pytorch.
- Train AI models using custom datasets, focusing on Object Detection, Semantic/Instance Segmentation, and Splats.
- Engage in Structure-from-Motion, 3D Reconstruction, and Photogrammetry tasks.
- Process Pointcloud and Mesh data effectively.
- Work with Geospatial Data and Visual-Inertial SLAM technologies.
- Deploy applications on cloud platforms while ensuring scalability and performance.
- Collaborate with cross-functional teams to deliver high-quality solutions.
Requirements
- Professional experience in developing computer vision applications.
- Strong proficiency in Python and C++, with hands-on experience in OpenCV and Pytorch.
- Familiarity with foundational AI models for computer vision.
- Experience with Microservice architecture, APIs, and NoSQL databases.
- BS in Computer Science, Engineering, Math, or a related technical field is preferred.
Nice to Have
- Experience in deploying AI solutions on cloud platforms.
- Knowledge of advanced computer vision techniques.
- Familiarity with agile development methodologies.
What We Offer
- 100% remote work with flexible hours.
- Competitive salary ranging from $90,000 to $120,000 per year.
- Flexible PTO policy to promote work-life balance.
- A collaborative and inclusive work environment.
- Opportunities for professional development and growth.
This role offers a unique opportunity to work on innovative AI solutions in the clean energy sector, with a focus on computer vision technologies.
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