We are looking for a Machine Learning Engineer with a strong background in computer vision, machine learning, and software development. You will develop and optimize models for efficient deployment on constrained devices, working on projects from image segmentation to scalable model deployment.
Abu Dhabi, UAE
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.
5 years in computer vision and machine learning with experience in TensorFlow, PyTorch, and OpenCV.
Proficiency in Python and C, understanding of deep learning architectures, and experience with model deployment and optimization tools.
The selected candidates will be invited to an interview for further discussion.
We are a dedicated partner for global players in our segments. Unikie supplies technology solutions and services to several global Fortune 500 companies in EMEA and America. As a responsible and competent partner, we have access to some of the most interesting projects. Technology we create enables our clients to become digital leaders in their own industries.
We cherish transparency and do our best that it shows up in as many processes as possible. One example of this is our salary model. We have top-notch technical talent, dedication, and excitement to develop ourselves and solve even the toughest challenges.
The combination of our agile teams, proven track record, industry insight, and holistic service and solution model place us at the forefront of cutting-edge technologies.
Work in a flexible, low-hierarchy organization that looks after its own. Unikie is a global software engineering and innovation company that infuses intelligence into machines, vehicles, and industrial solutions.
We provide intelligent solutions for the automotive, heavy equipment, transportation & logistics, devices & IoT, and networks & communication industries. With over 500 engineering professionals and a revenue of 65 million euros (2023), Unikie is a premium partner for unique embedded software and marshalling solutions that create value and success in the evolving digital landscape of tomorrow.
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