factored
Senior Machine Learning Engineer (Computer Vision)
At a Glance
- Location
- Latin America
- Posted
- 2026-05-04T13:27:50-04:00
Key Requirements
Required Skills
Domain Knowledge
- Education
Requirements
+5 years of hands-on experience
developing and deploying machine learning models in production environments.
Proven experience writing production-level code, with strong proficiency in Python.
frameworks (TensorFlow, PyTorch, or Keras).
Image classification
(ResNet, EfficientNet),
Responsibilities
Develop and fine-tune models for tasks like image classification, object detection, segmentation, and generative modeling using TensorFlow, PyTorch, or Keras.
Implement techniques such as resizing, normalization, data augmentation, and feature extraction to improve model performance.
Optimize and deploy computer vision models on cloud platforms (AWS, GCP, Azure), edge devices, and specialized hardware (GPUs, TPUs).
Use CI/CD, model versioning, and monitoring tools to ensure reliable and scalable deployment of vision models.
Improve model speed and performance using quantization, pruning, and hardware acceleration techniques.