Computer Vision Solution Engineer - Remote

Overview

Rendered.AI is a leader in providing cutting-edge engineering solutions for physics-based synthetic data generation for computer vision. We are seeking a highly skilled Computer Vision Solution Engineer with experience in training and deploying object detection, classification, and segmentation models.

In Short

• Support customers through the full adoption lifecycle: pre-sales, solution engineering, and implementation.
• Exposure to sales or customer-facing roles, with an ability to effectively 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 to ensure high performance and scalability in real-world environments.
• Work with cross-functional teams (e.g., product, sales, and data science) to define and solve complex vision-related problems.
• Utilize AWS and other cloud platforms for model deployment, scaling, and integration with cloud-based services.
• Participate in PaaS/SaaS implementations, leveraging the right solutions for deployment and monitoring.
• Collaborate with the sales team to understand client requirements and provide technical expertise during pre-sales discussions and product demos.
• Document model architectures, results, and processes to ensure clear communication across teams.
• Stay current with the latest advancements in computer vision and AI, ensuring the team’s capabilities remain cutting-edge.

Requirements

• Strong foundation in computer vision.
• Experience with cloud technologies like AWS.
• Exposure to PaaS/SaaS environments.
• Ability to collaborate with sales teams.
• Passion for solving complex problems.
• Experience in customer-facing roles.
• Strong communication skills.
• Ability to document technical processes.
• Knowledge of the latest advancements in AI.
• Experience in model optimization and deployment.

Benefits

• Opportunity to work with cutting-edge technology.
• Collaborative work environment.
• Engagement in high-growth projects.
• Professional development opportunities.
• Competitive salary and benefits.