Senior Machine Learning Engineer (Computer Vision)
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
The role
Design, implement, and deploy production-grade computer vision models across image classification, object detection, segmentation, and generative tasks.
Own end-to-end ML pipelines and architectures, from data preprocessing and model training to deployment, monitoring, and maintenance.
Optimize for speed, accuracy, and reliability using data augmentation, preprocessing techniques, quantization, pruning, and hardware acceleration.
Deploy on cloud platforms (AWS, GCP, Azure), edge devices, and accelerators (GPUs/TPUs) with CI/CD and robust monitoring.
Turn ambiguous visual problems into scalable, enterprise-ready solutions through collaboration across cross-functional teams.
Requirements: 5+ years of production ML experience, strong Python and deep learning framework skills (TensorFlow, PyTorch, Keras), with hands-on CV expertise (OpenCV/torchvision) and ML ops experience.
Own end-to-end ML pipelines and architectures, from data preprocessing and model training to deployment, monitoring, and maintenance.
Optimize for speed, accuracy, and reliability using data augmentation, preprocessing techniques, quantization, pruning, and hardware acceleration.
Deploy on cloud platforms (AWS, GCP, Azure), edge devices, and accelerators (GPUs/TPUs) with CI/CD and robust monitoring.
Turn ambiguous visual problems into scalable, enterprise-ready solutions through collaboration across cross-functional teams.
Requirements: 5+ years of production ML experience, strong Python and deep learning framework skills (TensorFlow, PyTorch, Keras), with hands-on CV expertise (OpenCV/torchvision) and ML ops experience.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.