Senior Machine Learning Engineer (Computer Vision)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (Computer Vision): Designing and delivering advanced vision systems for global and Fortune 500 companies with an accent on deep learning, large-scale data pipelines, and high-performance infrastructure. Focus on owning models end-to-end from experimentation to production deployment and turning ambiguous visual problems into high-impact, production-ready solutions.
Location: Fully remote, must be based in Latin America
Company
helps U.S. companies build and scale world-class AI, ML, and Data teams powered by top LATAM talent.
What you will do
- Develop and fine-tune models for image classification, object detection, segmentation, and generative modeling using TensorFlow, PyTorch, or Keras.
- Implement advanced image preprocessing techniques such as resizing, normalization, and data augmentation.
- Optimize and deploy computer vision models on cloud platforms (AWS, GCP, Azure), edge devices, and specialized hardware.
- Ensure reliable and scalable deployment using CI/CD, model versioning, and monitoring tools.
- Improve model performance and speed using quantization, pruning, and hardware acceleration.
Requirements
- 5+ years of hands-on experience developing and deploying machine learning models in production.
- Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, or Keras).
- Expertise in CV architectures: ResNet, EfficientNet, YOLO, SSD, U-Net, or Mask R-CNN.
- Experience with OpenCV, torchvision, and transfer learning techniques.
- Ability to deploy models on cloud infrastructure and specialized hardware (GPUs, TPUs).
- Must be based in Latin America.
Culture & Benefits
- Equity participation for ownership.
- Annual company retreat and company-wide winter break.
- Education bonus for continuous learning and tailored career roadmaps.
- Paid time off and optional in-person events.
- Transparent, high-performance culture valuing curiosity and diversity.
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