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Description:
The position is for a Computer Vision Engineer, working remotely from the UK, Ireland, or Hungary.
The role involves developing and optimizing computer vision systems to enhance safety standards in global factories and warehouses.
Responsibilities include creating real-time models for object detection, classification, and pose estimation to improve worker safety.
The engineer will collaborate closely with cross-functional teams to integrate advanced technologies into production pipelines.
The role requires maintaining high-performance solutions and ensuring the continuous evolution of AI-driven safety systems.
Key accountabilities include managing specialized datasets, improving model accuracy, reducing inference time, and overseeing multiple concurrent projects.
Requirements:
A Bachelor's degree in Computer Science, Engineering, or a related field is required.
Candidates must have 5+ years of experience in computer vision or a similar field.
Expertise in deep learning frameworks, particularly PyTorch and TensorFlow, is essential.
Strong proficiency in Python and experience with C++ are required.
Experience with AWS cloud services (S3, EC2, Lambda) and handling compute-intensive workloads is necessary.
Proven experience in deploying computer vision models in production environments is a must.
A strong understanding of computer vision techniques and methodologies is required.
Experience in managing data annotation projects is necessary.
Familiarity with MLOps tools such as Voxel 51, AWS Batch, and Weights & Biases is preferred.
Benefits:
The position offers a competitive salary with performance-based incentives.
Employees will have the opportunity to work with cutting-edge AI and computer vision technologies.
Flexible remote working options are available.
The work environment is collaborative and fast-paced, promoting personal growth.
Access to continuous learning and development opportunities is provided.
Health and wellness benefits are tailored to meet employee needs.
Apply now
Please, let Jobgether know you found this job
on RemoteYeah
.
This helps us grow 🌱.