Factored is seeking a Senior Machine Learning Engineer specialized in Computer Vision to design and deploy advanced vision systems for global and Fortune 500 companies. This fully remote role involves end-to-end ownership of models from experimentation to production, working with deep learning frameworks and cloud platforms.
Responsibilities
Develop and fine-tune models for image classification, object detection, segmentation, and generative modeling using TensorFlow, PyTorch, or Keras.
Implement resizing, normalization, data augmentation, and feature extraction to improve 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 for reliable and scalable deployment.
Improve model speed using quantization, pruning, and hardware acceleration techniques.
Requirements
+5 years of hands-on experience developing and deploying ML models in production.
Strong proficiency in Python.
Proficiency in deep learning frameworks (TensorFlow, PyTorch, or Keras).
Expertise in image classification (ResNet, EfficientNet), object detection (Faster R-CNN, YOLO, SSD), or image segmentation (U-Net, Mask R-CNN).
Strong understanding of image preprocessing techniques.
Hirevector is a professional services and recruitment firm that provides an AI-powered technical interview intelligence platform. The company focuses on standardizing the hiring process through conversational, AI-driven assessments to ensure fairness, reduce bias, and improve candidate evaluation.