Jobgether has ALL remote jobs globally. We match you to roles where you’re most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Computer Vision Engineer, remotely from the UK, Ireland, and Hungary.

As a Computer Vision Engineer, you will play a pivotal role in the development and optimization of computer vision systems designed to enhance safety standards across global factories and warehouses. Your expertise will drive the creation of real-time models for object detection, classification, and pose estimation, contributing to the safety of thousands of workers worldwide. You will be working in a fast-paced environment, collaborating closely with cross-functional teams to integrate cutting-edge technologies into production pipelines, ensuring high-performance solutions. Your efforts will directly impact the continued evolution of AI-driven safety systems.

Accountabilities:

• Develop and optimize computer vision models focused on object detection, classification, and pose estimation.
• Curate and manage specialized datasets, ensuring data integrity for training and validation.
• Work collaboratively with cross-functional teams to integrate solutions into production pipelines.
• Continuously improve model accuracy, reduce inference time, and enhance overall system performance.
• Maintain high standards of model quality and ensure readiness for deployment.
• Manage multiple concurrent projects, ensuring timely and successful delivery.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in computer vision or a similar field.
• Expertise in deep learning frameworks, especially PyTorch and TensorFlow.
• Strong proficiency in Python and experience with C++.
• Experience with AWS cloud services (S3, EC2, Lambda) and handling compute-intensive workloads.
• Proven experience deploying computer vision models in production environments.
• Strong understanding of computer vision techniques and methodologies.
• Experience managing data annotation projects.
• Familiarity with MLOps tools such as Voxel 51, AWS Batch, and Weights & Biases.

Benefits

• Competitive salary with performance-based incentives.
• Opportunity to work with cutting-edge AI and computer vision technologies.
• Flexible remote working options.
• A collaborative, fast-paced environment that encourages personal growth.
• Access to continuous learning and development opportunities.
• Health and wellness benefits tailored to employee needs.

LI-CL1