Senior Machine Learning Engineer (Computer Vision)

+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. Strong Python programming skills with proficiency in deep learning frameworks (TensorFlow, PyTorch, or Keras). Expertise in designing, training, and fine-tuning models for: 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 (resizing, normalization, data augmentation). Experience with computer vision libraries such as OpenCV and torchvision. Experience with transfer learning and adapting pre-trained models. Ability to deploy models on cloud platforms (AWS, GCP, Azure) and specialized hardware (GPUs, TPUs). Familiarity with MLOps tools for automating ML pipelines.

Develop and fine-tune models for 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.