Computer Vision Engineer Position
Há 6 dias
The role of a Computer Vision Engineer at TEKEVER is to develop, implement, and optimize computer vision algorithms and models. This involves working on various projects that involve image and video analysis, leveraging expertise to extract meaningful insights and create innovative solutions.
">Key Responsibilities- Design, develop, and implement computer vision models & algorithms for image and video analysis, including object & event & change detection, recognition, segmentation, and tracking.
- Train and optimize machine learning models using large datasets, ensuring high accuracy and performance.
- Perform data preprocessing tasks such as image augmentation and normalization to prepare datasets for training and evaluation.
- Stay current with the latest advancements in computer vision and machine learning and apply new techniques to improve existing models and develop new solutions.
- Work closely with data engineers, software developers, product managers, and other stakeholders to understand project requirements and deliver effective solutions.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Ph.D. is a plus.
- 3+ years of experience in Computer Vision Engineering.
- Strong programming skills in Python and C++.
- Experience with frameworks and libraries such as OpenCV, TensorFlow, TensorRT, PyTorch, and Keras.
- Experience with ML tools, e.g. FiftyOne and ClearML.
- Proficiency in machine learning and deep learning frameworks.
- Experience with image and video processing techniques.
- Experience with experimentation platforms such as Jupyter Notebooks.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, with focus on Google Cloud.
- Basic knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry, and monitoring, etc.
TEKEVER is a cutting-edge technology company focused on providing surveillance-as-a-service solutions that enhance maritime safety and save lives. We offer a collaborative and inclusive work environment where you can make a significant impact on global safety.
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