Computer Vision Solution Engineer

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Requirements:

• Master’s degree in Computer Vision, Computer Science, Engineering, or a related field.
• Bachelor’s degree in a relevant field with equivalent experience will also be considered.
• 6 - 10 years of strong experience in training computer vision models, specifically in object detection, classification, and segmentation.
• Practical experience with deep learning frameworks such as TensorFlow and PyTorch.
• Proficient in working with AWS and exposure to GCP or Azure.
• Familiarity with SaaS/PaaS models and deployment techniques.
• Solid understanding of image processing and computer vision algorithms.
• Proficiency in Python and relevant libraries like OpenCV.
• Experience with containerization technologies like Docker and Kubernetes is a plus.
• Excellent problem-solving skills to troubleshoot complex issues.

Responsibilities:

• Support customers through the full adoption lifecycle: pre-sales, solution engineering, and implementation.
• Communicate technical concepts to non-technical stakeholders.
• Design, develop, and deploy computer vision models focusing on object detection, classification, and segmentation.
• Optimize and fine-tune models for high performance in real-world environments.
• Collaborate with cross-functional teams to solve complex vision-related problems.
• Utilize AWS and other cloud platforms for model deployment and scaling.
• Participate in PaaS/SaaS implementations for deployment and monitoring.
• Provide technical expertise during pre-sales discussions and product demos.
• Document model architectures and results for clear communication across teams.
• Stay current with advancements in computer vision and AI.