Computer Vision Engineer

7 days ago

Bengaluru, India Tonbo Imaging Full time
We are seeking a talented and experienced Computer Vision Engineer to join our innovative team. The ideal candidate will have a strong background in computer vision, machine learning, and image processing to develop and implement state-of-the-art vision algorithms and applications.Key Responsibilities:Develop and Implement Algorithms : Design, develop, and optimize computer vision algorithms for various applications such as object detection, image recognition, image segmentation, and motion tracking.Data Analysis : Analyze and interpret complex datasets to extract meaningful information and insights.Prototype and Deploy Models : Build and deploy machine learning models and prototypes in production environments.Research and Innovation : Stay up-to-date with the latest research and advancements in computer vision and related fields. Apply new techniques and methodologies to improve existing systems.Collaboration : Work closely with cross-functional teams including software engineers, data scientists, product managers, and other stakeholders to integrate computer vision solutions into products.Performance Optimization : Optimize the performance of computer vision algorithms for speed, accuracy, and scalability.Documentation and Reporting : Document the design, development, and deployment processes. Generate reports and present findings to stakeholders.Qualifications:Education : Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field with a focus on computer vision or machine learning.Experience : Proven experience in developing and deploying computer vision algorithms and applications. Experience with real-time systems and large-scale data processing is a plus.Technical Skills :Proficiency in programming languages such as Python, C++, or Java.Experience with computer vision libraries and frameworks like OpenCV, TensorFlow, PyTorch, and Keras.Familiarity with image processing techniques and tools.Strong understanding of machine learning algorithms and their applications in computer vision.Experience with deep learning architectures (CNNs, RNNs, GANs, etc.).Knowledge of software development practices, version control (Git), and agile methodologies.Soft Skills :Excellent problem-solving and analytical skills.Strong communication and teamwork abilities.Ability to work independently and manage multiple tasks simultaneously.Creativity and a passion for innovation.Preferred Qualifications:Experience with Hardware Integration : Knowledge of integrating computer vision solutions with hardware components such as cameras, sensors, and embedded systems.Industry Experience : Experience in industries such as robotics, autonomous vehicles, healthcare, or augmented reality/virtual reality.Publications and Patents : Contributions to academic research, publications in reputable journals, or patents in the field of computer vision.Benefits:Competitive salary and performance bonusesComprehensive health, dental, and vision insuranceRetirement savings plan with employer matchingFlexible working hours and remote work optionsProfessional development opportunitiesCollaborative and inclusive work environment

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