Computer Vision Engineer

Summary

Join Protex AI, a VC-backed technology company, as a Computer Vision Engineer. You will lead the development and optimization of cutting-edge computer vision systems for factory and warehouse safety. This role involves model development and enhancement, data pipeline management, production integration, and continuous improvement. The ideal candidate possesses a strong background in computer vision, deep learning frameworks, and cloud services. You will manage multiple projects, maintain high standards, and collaborate with cross-functional teams. Protex AI offers an inclusive and equal opportunities workplace.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience in computer vision or related field
• Strong background in deep learning frameworks (PyTorch, TensorFlow)
• Expertise in Python and experience with C++
• Experience with AWS cloud services (S3, EC2, Lambda) and orchestrating compute intensive workloads (Batch, Apache Airflow)
• Proven track record of deploying computer vision models in production
• Deep understanding of computer vision fundamentals and current state-of-the-art techniques
• Experience with object detection, classification, and pose estimation models
• Proficiency in managing and defining data annotation projects
• Familiarity with MLOps tools (Voxel 51, AWS Batch, Weights & Biases)

Responsibilities

• Build, train, and optimize computer vision models for object detection, classification, and pose estimation, ensuring robust, real-time performance
• Curate, refine, and maintain specialized datasets
• Oversee annotation projects and ensure data integrity for model training and validation
• Work with cross-functional teams to integrate computer vision solutions into our production pipeline, ensuring scalability, efficiency, and alignment with client needs
• Experiment with new technologies, methodologies, and frameworks to enhance model accuracy, reduce inference time, and improve overall system performance
• Drive projects with a sense of urgency, maintaining high standards for model quality and deployment readiness
• Effectively manage multiple concurrent projects while ensuring consistent delivery
• Set and maintain high expectations for team output and model performance
• Implement and maintain robust testing frameworks to ensure reliability across different environments
• Proactively identify bottlenecks and propose solutions to improve team efficiency

Preferred Qualifications

• Knowledge of privacy-preserving ML techniques
• Strong sense of urgency and ability to drive projects to completion
• Exceptional organizational skills with proven ability to manage multiple projects simultaneously
• High standards for quality and attention to detail
• Strategic thinking with ability to anticipate and prevent potential issues
• Excellent communication skills for collaborating with technical and non-technical stakeholders
• Track record of setting and maintaining high expectations for team performance
• Adaptability and eagerness to learn new technologies