Machine Learning Engineer (Computer Vision)

Factored; A distancia; MXN 1,257,000 - 1,617,000; Jornada completa

Descripción de la vacante

A technology company in Mexico is seeking a highly skilled Machine Learning Engineer specializing in computer vision. This role focuses on designing, developing, and optimizing deep learning models for image-related tasks. The ideal candidate will possess strong programming skills in Python and proficiency in frameworks like TensorFlow and PyTorch. Responsibilities include developing models for classification and detection, optimizing deployments on cloud platforms, and improving model performance.

Formación

• Strong expertise in computer vision and deep learning.
• Proficiency in deploying models on cloud platforms.
• Experience with MLOps tools for automating ML pipelines.

Responsabilidades

• Develop and fine-tune models for image classification, object detection, and segmentation.
• Optimize and deploy computer vision models on cloud platforms and specialized hardware.
• Implement techniques for model performance improvements.

Conocimientos

Python programming skills

Deep learning frameworks (TensorFlow, PyTorch, Keras)

Image classification (ResNet, EfficientNet)

Object detection (Faster R-CNN, YOLO, SSD)

Image segmentation (U-Net, Mask R-CNN)

Herramientas

OpenCV

torchvision

AWS

GCP

Azure

Descripción del empleo

Latin AmericaFactored was conceived in Palo Alto, California by Andrew Ng and a team of highly experienced AI researchers, educators, and engineers to help address the significant shortage of qualified AI & Machine-Learning engineers globally.

We know that exceptional technical aptitude, intelligence, communication skills, and passion are equally distributed around the world, and we are very committed to testing, vetting, and nurturing the most talented engineers for our program and on behalf of our clients.

We are seeking a highly skilled Machine Learning Engineer with expertise in computer vision to design, develop, and optimize deep learning models for image-related tasks.

Responsibilities

• 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.

Qualifications

• 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), and 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.