Machine Vision Engineer — Inspection & Algorithms

Smoore Technology Indonesia; Indonesia; Remote; IDR 1.256.507.000 - 2.513.014.000; Vollzeit

Benefits dieser Stelle

Home office stipend

Comprehensive benefits

Professional development

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

Deep learning

Computer vision

ML model deployment

Data augmentation

Remote work

Communication

Independent work

Ausbildung

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

Tools

TensorFlow

PyTorch

Keras

OpenCV

scikit-image

Pillow

AWS/GCP/Azure

Jobbeschreibung

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 TensorFlow, 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.