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Machine Vision Engineer — Inspection & Algorithms

Remote / Online - Candidates ideally in
Bekasi, Indonesia
Listing for: Smoore Technology Indonesia
Remote/Work from Home position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Computer Science
Job Description & How to Apply Below

Our client is actively seeking a talented Machine Learning Engineer specializing in Computer Vision to join their pioneering, fully remote team. This role offers an exciting opportunity to work on cutting-­edge visual intelligence projects from the comfort of your home office, regardless of your location. You will be instrumental in developing and deploying sophisticated computer vision models for a variety of applications, including image recognition, object detection, segmentation, and video analysis.

The ideal candidate will possess a strong foundation in machine learning, deep learning, and computer vision algorithms, coupled with practical experience in building and deploying ML models in production. As part of a dynamic and collaborative remote-first environment, you will contribute to research, development, and the continuous improvement of our client's AI-powered visual systems. This position is perfect for ambitious engineers who thrive in an autonomous setting and are passionate about advancing the capabilities of machine perception through AI.

Key Responsibilities
  • Design, implement, and optimize machine learning models for computer vision tasks.
  • Develop and train deep neural networks for image classification, object detection, segmentation, and other visual recognition challenges.
  • Preprocess and augment large image and video datasets.
  • Evaluate model performance using appropriate metrics and identify areas for improvement.
  • Deploy trained models into production environments, ensuring scalability and efficiency.
  • Collaborate with software engineers and data scientists to integrate computer vision solutions into products and services.
  • Stay current with the latest research and advancements in computer vision and deep learning.
  • Experiment with different architectures, frameworks, and techniques to achieve state-of-the-art results.
  • Contribute to the development of internal tools and libraries for computer vision workflows.
  • Document model development processes, experiments, and results clearly.
Requirements
  • Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field with a focus on Computer Vision.
  • 4+ years of hands-on experience in developing and deploying computer vision models.
  • Strong proficiency in Python and experience with deep learning frameworks such as Tensor Flow, PyTorch, or Keras.
  • Solid understanding of computer vision fundamentals (e.g., image processing, feature extraction, geometric vision).
  • Experience with libraries like OpenCV, scikit-image, Pillow.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps principles.
  • Excellent problem-solving skills and the ability to work independently in a remote setting.
  • Strong communication skills for collaborating effectively with a distributed team.
  • Experience with data augmentation techniques and handling large datasets.
Benefits

This is a fully remote role offering a highly competitive salary and a comprehensive benefits package. Our client provides top-tier health, dental, and vision insurance plans. A 401(k) or equivalent retirement savings plan with employer matching is available. We encourage continuous professional development through access to online courses, industry conferences, and internal knowledge-sharing sessions. Generous paid time off is provided, including vacation days, sick leave, and holidays, ensuring a healthy work-life balance.

Additionally, employees receive a home office stipend to set up a productive workspace. This remote position offers the flexibility to work from anywhere, collaborate with a global team of experts, and contribute to groundbreaking advancements in computer vision without geographical limitations.

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