Machine Learning Engineer – Computer Vision / Image Processing / Deep Learning / CGI / SLAM / AR / HDR / Colour Correction / Computational Photography
Description
As a Machine Learning / Computer Vision Engineer, you are responsible for growing our Machine Learning for Computer Vision portfolio, building products that change the consumer and automotive industries by combining edge computing and AI.
Our technology stack includes the latest innovations both supervised and unsupervised learning, including the latest deep learning algorithms and machine learning frameworks such as TensorFlow, Caffe, Keras, FastAI, Spark and Go.
Requirements
You hold a degree in computer science or a related field and you can demonstrate a consistent track record in the following areas:
- Several years of experience architecting, building, developing and scaling Machine Learning and/or Computer Vision systems.
- Good understanding and experience in technologies such as CGI, SLAM, AR, HDR, color correction. Computational photography would be a strong plus.
- Excellent software development and scripting skills C/C++, Java and Python
- Real-time processing of image and/or large amounts of sensor data
- Hands-on experience, micro-service architectures (e.g., Docker, Kubernetes), and ML libraries (e.g., Scikit-Learn, TensorFlow, Keras)
- Experience with scalable cloud infrastructures such as AWS and Azure
KEY WORDS: Machine Learrning / Computer Vision / Image Processing / Deep Learning / CGI / SLAM / AR / HDR / Colour Correction / Computational Photography
If you think that you match these requirements, then be sure to apply to the role, or send your CV to ab@eu-recruit.com.
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