About us:
Protex AI is a VC-backed technology company building a privacy-preserving computer vision platform to enable proactive Health and Safety (EHS) workflows. We leverage the domain knowledge of EHS teams to help our computer vision system understand the concept of danger, preventing accidents before they occur. Every worker has the right to go home safe and healthy every day and every employer has the responsibility to provide a safe work environment. Our mission at Protex AI is to ensure that this is the case in every facility around the world by empowering EHS teams to adopt proactive safety cultures and in doing so realise an injury-free workplace.
About the Role
We are seeking a Computer Vision Engineer that will lead the development and optimization of our cutting-edge computer vision systems that transform safety standards in factories and warehouses worldwide. The ideal candidate excels in computer vision technology, thrives under pressure, and expertly manages multiple projects while maintaining high standards. If you're passionate about pushing the boundaries of AI-driven safety solutions and have a track record of delivering exceptional results, we want to talk to you. Join us in building systems that revolutionize workplace safety and impact the well-being of thousands of workers.
About the Team
You'll be joining our Computer Vision Operations (CV Ops) team, a dedicated group of engineers committed to developing and deploying state of the art CV technologies to the real world. We maintain a fast-paced, collaborative environment where team members are empowered to make significant technical decisions while supporting each other's growth and development.
What You’ll Do
-
Model Development & Enhancement: Build, train, and optimize computer vision models for object detection, classification, and pose estimation, ensuring robust, real-time performance.
-
Data Pipeline Management: Curate, refine, and maintain specialized datasets. Oversee annotation projects and ensure data integrity for model training and validation.
-
Production Integration: Work with cross-functional teams to integrate computer vision solutions into our production pipeline, ensuring scalability, efficiency, and alignment with client needs.
-
Continuous Improvement: 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
What You’ll Need
-
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)
-
Knowledge of privacy-preserving ML techniques is a plus
What You’ll Bring
-
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
Protex AI is an inclusive and equal opportunities employer. We are committed to creating an equitable workplace for everyone regardless of gender, civil status, family status, sexual orientation, religion, age, disability, education level, or race.
