407 Computer Vision jobs in Bahrain
Computer Vision Engineer
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Lead Computer Vision Engineer
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Lead Computer Vision Engineer
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Responsibilities:
- Lead the design, development, and implementation of computer vision algorithms and systems.
- Develop and optimize deep learning models for image recognition, object detection, segmentation, and tracking.
- Collaborate with cross-functional teams to define project requirements and integrate vision solutions.
- Conduct research and stay updated with the latest advancements in computer vision and AI.
- Write clean, efficient, and well-documented code in Python or C++.
- Utilize deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Optimize algorithms for real-time performance and deployment on embedded systems.
- Mentor junior computer vision engineers and review their work.
- Evaluate and select appropriate datasets and develop data augmentation strategies.
- Master's or PhD in Computer Science, Electrical Engineering, or a related field.
- Minimum of 5 years of professional experience in computer vision engineering.
- Minimum of 2 years in a lead or senior technical role.
- Strong expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python or C++ and libraries like OpenCV, scikit-image.
- Solid understanding of mathematical foundations of computer vision.
- Experience with deploying computer vision models in production environments.
- Excellent problem-solving, analytical, and communication skills.
Machine Learning Engineer (Computer Vision)
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Machine Learning Engineer - Computer Vision
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Key Responsibilities:
- Developing and implementing advanced deep learning models for image recognition, object detection, segmentation, and other computer vision tasks.
- Utilizing frameworks such as TensorFlow, PyTorch, and Keras to build, train, and optimize ML models.
- Pre-processing and augmenting large image and video datasets to improve model performance.
- Collaborating with software engineers to integrate computer vision models into production systems and applications.
- Evaluating and benchmarking model performance, identifying areas for improvement, and implementing state-of-the-art techniques.
- Conducting research into new computer vision algorithms and methodologies.
- Optimizing models for deployment on various platforms, including edge devices.
- Working closely with product managers and domain experts to understand requirements and translate them into technical solutions.
- Contributing to the entire machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring.
- Staying current with the latest advancements in computer vision and machine learning research.
- Writing clean, efficient, and well-documented code.
- Participating in code reviews and knowledge sharing sessions.
The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 4 years of experience in developing and deploying computer vision models. Proven experience with deep learning frameworks (TensorFlow, PyTorch), libraries like OpenCV, and programming languages such as Python is essential. Strong understanding of mathematical concepts underlying machine learning and computer vision is required. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus. Excellent problem-solving, analytical, and communication skills are a must. This is an exciting opportunity to work on challenging problems in a collaborative environment.
Machine Learning Engineer - Computer Vision
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Machine Learning Engineer - Computer Vision
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Key responsibilities include:
- Designing, developing, and implementing machine learning models for computer vision tasks, including image recognition, object detection, segmentation, and tracking.
- Utilizing deep learning frameworks such as TensorFlow, PyTorch, or Keras for model development and training.
- Working with large-scale image and video datasets, including data augmentation, preprocessing, and annotation.
- Optimizing model performance for real-time applications and embedded systems.
- Collaborating with software engineers to integrate ML models into production systems and applications.
- Conducting research on state-of-the-art computer vision techniques and algorithms.
- Evaluating and benchmarking different model architectures and approaches.
- Writing clean, maintainable, and efficient code for ML pipelines and applications.
- Staying current with advancements in AI, machine learning, and computer vision.
- Contributing to the overall AI strategy and roadmap of the company.
The ideal candidate will hold a Master's or Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field, with a specialization in Computer Vision. A minimum of 3-5 years of hands-on experience in developing and deploying computer vision models is required. Proficiency in Python and relevant libraries (OpenCV, scikit-image) is essential. Experience with deep learning frameworks and cloud platforms (AWS, Azure, GCP) is highly desirable. Strong analytical, problem-solving, and communication skills are necessary. A portfolio of relevant projects or publications is a strong plus. Join a collaborative team pushing the boundaries of what's possible with AI and computer vision.
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Machine Learning Engineer - Computer Vision
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Machine Learning Engineer - Computer Vision
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Machine Learning Engineer - Computer Vision
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The ideal candidate will have a strong background in computer vision, image processing, and deep learning frameworks. You will be responsible for the entire lifecycle of ML models, from data collection and preprocessing to model training, evaluation, and deployment. This includes designing efficient data pipelines, optimizing model performance for real-time applications, and ensuring the scalability and robustness of our AI solutions.
Key responsibilities:
- Develop, train, and deploy state-of-the-art computer vision models for tasks such as object detection, image segmentation, facial recognition, and activity recognition.
- Implement and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Keras.
- Work with large-scale image and video datasets, ensuring data quality and implementing effective data augmentation techniques.
- Design and build efficient ML pipelines for data processing, model training, and inference.
- Collaborate with software engineers to integrate computer vision models into existing products and services.
- Conduct rigorous model evaluation and performance tuning to meet specific project requirements.
- Research and implement novel computer vision algorithms and techniques to address new challenges.
- Document models, code, and experimental results clearly and comprehensively.
- Stay updated with the latest advancements in computer vision and machine learning research.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field with a specialization in Machine Learning or Computer Vision.
- 3+ years of professional experience in machine learning engineering, with a focus on computer vision.
- Strong programming skills in Python and experience with relevant libraries (OpenCV, Pillow, NumPy).
- Proficiency in deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.
- Understanding of image processing techniques and mathematical principles behind computer vision.
- Excellent analytical and problem-solving abilities.
- Strong communication skills to effectively collaborate with team members.