At Aristocrat, We are on a mission to find the best talent potential individuals in thirst for innovation & Knowledge evolution.
Career in Aristocrat Involves remote modality and several cutting edge stipend linked corporate certification in house programs.
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A Computer Vision Engineer is responsible for designing, developing, and implementing computer vision algorithms and systems for various applications. This includes developing and optimizing image processing techniques, machine learning models, and deep learning networks. The role requires a strong background in computer science, mathematics, and machine learning.
Responsibilities:
- Design and develop computer vision algorithms and systems for various applications, including object detection, recognition, segmentation, and tracking.
- Optimize image processing techniques for better performance and accuracy.
- Develop machine learning models and deep learning networks for computer vision tasks.
- Analyze and interpret data from various sensors, cameras, and other sources.
- Collaborate with software engineers, data scientists, and product managers to integrate computer vision systems into products and applications.
- Conduct research to stay up-to-date with the latest advancements in computer vision technology and incorporate these advancements into the companys products and services.
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Requirements
- Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field.
- Strong programming skills in languages such as Python, C++, and MATLAB.
- Knowledge of computer vision techniques and algorithms such as image processing, pattern recognition, machine learning, and deep learning.
- Experience with popular computer vision frameworks such as OpenCV, TensorFlow, and PyTorch.
- Familiarity with hardware such as cameras, sensors, and GPUs.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Strong communication skills to effectively communicate technical concepts to non-technical stakeholders.
Benefits
Extreme Learning and training environment.
Continuous growth every 3 months financially & in Responsibilities.
Compensation based on contribution value.
Computer vision, image processing, machine learning, deep learning, object detection, recognition, segmentation, tracking, OpenCV, TensorFlow, PyTorch, Python, C++, MATLAB, sensors, GPUs, problem-solving, communication.