816 Machine Vision jobs in Vietnam
Machine Learning Engineer (Computer Vision)
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Key Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms and deep learning models.
- Train, evaluate, and optimize machine learning models using large datasets.
- Integrate computer vision models into production systems and applications.
- Collaborate with software engineers and product managers to define and deliver new features.
- Conduct research on new advancements in computer vision and deep learning.
- Develop efficient data pipelines for training and inference.
- Optimize model performance for real-time applications.
- Troubleshoot and debug machine learning models and systems.
- Stay up-to-date with the latest research and industry trends in computer vision and AI.
- Contribute to the overall machine learning strategy and roadmap.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Proven experience in developing and deploying computer vision models.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of image processing techniques and libraries (e.g., OpenCV).
- Experience with data augmentation, model validation, and hyperparameter tuning.
- Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops practices is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Experience with C++ is an advantage.
Machine Learning Engineer (Computer Vision)
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Responsibilities:
- Develop, train, and optimize machine learning models for computer vision tasks.
- Implement and deploy computer vision algorithms into production systems.
- Collaborate with software engineers and data scientists to integrate AI solutions.
- Research and experiment with state-of-the-art computer vision techniques and architectures.
- Preprocess and analyze large-scale image and video datasets.
- Evaluate model performance and identify areas for improvement.
- Contribute to the design and architecture of scalable ML pipelines.
- Stay updated with the latest research and industry trends in computer vision and deep learning.
- Document methodologies, code, and results clearly.
- Participate in code reviews and provide constructive feedback.
- Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning/Computer Vision.
- 3+ years of experience in developing and deploying computer vision models.
- Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of image processing, feature extraction, and various CV algorithms (CNNs, object detection, segmentation, etc.).
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.
- Solid software engineering skills, including experience with version control (Git).
- Excellent analytical and problem-solving abilities.
- Strong communication skills to present technical concepts effectively.
- Experience with data augmentation techniques and handling large datasets.
- Familiarity with computer vision libraries such as OpenCV.
Remote Machine Learning Engineer - Computer Vision
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Senior Machine Learning Engineer, Computer Vision
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AI/Machine Learning Engineer (Computer Vision)
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- Designing, training, and evaluating machine learning models, particularly in the area of computer vision.
- Developing and implementing deep learning architectures for tasks such as object detection, image segmentation, and facial recognition.
- Utilizing frameworks like TensorFlow, PyTorch, or Keras for model development.
- Pre-processing and augmenting large image and video datasets.
- Deploying ML models into production environments and monitoring their performance.
- Collaborating with data scientists and software engineers to integrate AI capabilities into applications.
- Staying current with the latest research and advancements in AI and computer vision.
- Conducting experiments, analyzing results, and documenting findings.
- Contributing to the development of AI infrastructure and tooling.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
- Proven experience in developing and deploying computer vision models.
- Strong programming skills in Python.
- Hands-on experience with deep learning frameworks (TensorFlow, PyTorch).
- Familiarity with computer vision libraries such as OpenCV.
- Solid understanding of machine learning algorithms and statistical modeling.
- Experience with cloud platforms (AWS, GCP, Azure) for ML workloads.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills, especially in a remote team environment.
Senior Machine Learning Engineer (Computer Vision)
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Key Responsibilities:
- Design, develop, and implement state-of-the-art computer vision algorithms and deep learning models for image and video analysis.
- Process, clean, and label large-scale datasets for training and evaluating computer vision models.
- Optimize model performance for accuracy, speed, and efficiency on various hardware platforms.
- Integrate computer vision models into production systems and applications.
- Stay abreast of the latest research and advancements in computer vision and machine learning.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Conduct rigorous testing and validation of models to ensure robustness and reliability.
- Mentor junior engineers and contribute to the team's technical growth.
- Document code, experiments, and findings thoroughly.
- Troubleshoot and debug issues related to model development and deployment.
- Contribute to the strategic direction of the company's AI initiatives.
Qualifications:
- Master's or Ph.D. in Computer Science, Electrical Engineering, AI, or a related field with a focus on computer vision.
- Minimum of 5 years of hands-on experience in developing and deploying computer vision models.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of computer vision fundamentals, including image processing, feature detection, and object recognition.
- Experience with libraries like OpenCV, scikit-image, and PIL.
- Knowledge of various deep learning architectures (CNNs, RNNs, Transformers) applied to vision tasks.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Proven ability to work independently and manage multiple tasks effectively.
This is a fantastic opportunity for a talented Computer Vision Engineer to contribute to groundbreaking AI projects in a stimulating environment.
Remote Machine Learning Engineer (Computer Vision)
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Senior Machine Learning Engineer - Computer Vision
Posted today
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Key Responsibilities:
- Design, implement, and train deep learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and video analysis.
- Develop and optimize machine learning pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with product managers and stakeholders to define project requirements and translate them into technical specifications.
- Stay up-to-date with the latest advancements in computer vision and deep learning research.
- Implement and fine-tune state-of-the-art models using frameworks like TensorFlow, PyTorch, or Keras.
- Develop strategies for data augmentation, transfer learning, and model optimization to improve performance and efficiency.
- Write clean, well-documented, and maintainable code in Python or similar languages.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Analyze model performance, identify areas for improvement, and iterate on solutions.
- Contribute to the overall AI strategy and roadmap of the company.
- Mentor junior engineers and share expertise in computer vision and machine learning.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering, with a strong focus on computer vision.
- Proven experience developing and deploying computer vision models in real-world applications.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and libraries like NumPy, OpenCV, and Scikit-learn.
- Solid understanding of various computer vision techniques and algorithms.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Familiarity with big data technologies and distributed computing environments.
- Excellent problem-solving abilities and a passion for research and innovation.
- Strong communication and collaboration skills, with the ability to work effectively in a remote, fast-paced environment.
- Experience with data annotation and management for computer vision datasets.
Principal Machine Learning Engineer - Computer Vision
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Remote Machine Learning Engineer - Computer Vision
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Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks.
- Preprocess and analyze large image and video datasets for model training.
- Implement and fine-tune deep learning architectures (e.g., CNNs, ResNets, YOLO, Transformers).
- Optimize ML models for deployment on various platforms, including cloud and edge devices.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Evaluate model performance, identify bottlenecks, and implement improvements.
- Stay updated with the latest research and advancements in computer vision and deep learning.
- Develop robust testing and validation frameworks for ML models.
- Contribute to the entire ML lifecycle, from data collection to model deployment and monitoring.
- Document code, models, and experimental results clearly and thoroughly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on computer vision or machine learning.
- Proven experience in developing and deploying computer vision models in a professional setting.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, and scikit-image.
- Solid understanding of deep learning fundamentals and various neural network architectures.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Excellent problem-solving skills and ability to work independently in a remote environment.
- Strong communication skills to effectively collaborate with remote teams.
- Familiarity with data augmentation techniques and strategies.
- Experience with video analysis and processing is desirable.