Remote Machine Vision Engineer - Algorithms & Vision AI

Smoore Technology Indonesia; Indonesia; À distance; IDR 1 256 507 000 - 2 513 014 000; Plein temps

Avantages offerts par ce poste

Home office stipend

Comprehensive benefits

Professional development

Résumé du poste

Smoore Technology Indonesia seeks a skilled Machine Learning Engineer specializing in computer vision to join a fully remote, distributed team. You will design, train, and deploy CV models for image classification, object detection, segmentation, and video analysis.

You will work with Python, TensorFlow/PyTorch, and OpenCV, collaborating with data scientists and software engineers to productionize solutions.

Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, AI, or related field with CV focus.
• 4+ years of hands-on experience in developing and deploying computer vision models.
• Strong Python skills and experience with TensorFlow, PyTorch, or Keras.

Responsabilités

• Design, implement, and optimize ML models for CV tasks.
• Train deep networks for image classification, detection, and segmentation.
• Preprocess and augment large image/video datasets.
• Evaluate models and iterate improvements.
• Deploy models into production with scalable pipelines.
• Collaborate with software engineers and data scientists to integrate CV solutions.
• Stay updated with CV and DL research and experiments.

Connaissances

Python

Deep learning

Computer vision

ML model deployment

Data augmentation

Remote work

Communication

Independent work

Formation

Master's or Ph.D. in CS/EE/AI (CV focus)

Outils

TensorFlow

PyTorch

Keras

OpenCV

scikit-image

Pillow

AWS/GCP/Azure

Description du poste

Smoore Technology Indonesia seeks a skilled Machine Learning Engineer specializing in computer vision to join a fully remote, distributed team. You will design, train, and deploy CV models for image classification, object detection, segmentation, and video analysis.

You will work with Python, TensorFlow/PyTorch, and OpenCV, collaborating with data scientists and software engineers to productionize solutions.