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University Of York Computer Science
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Research Associate in Machine Learning and Computer Vision

Research Associate in Machine Learning and Computer Vision

University Of York Computer Science

2 - 4 years

4 - 7 Lacs

nagpur

Posted:Just now| Platform:

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Skills Required

algorithms python computer science natural language processing writing machine learning communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a highly skilled and motivated Research Associate in Machine Learning and Computer Vision to join our team at the University of York Computer Science. The ideal candidate will have a strong background in machine learning and computer vision, with excellent research skills.

Roles and Responsibility

Develop and implement new machine learning algorithms and models for computer vision tasks.

Conduct research in areas such as image and video processing, object recognition, and scene understanding.

Collaborate with cross-functional teams to integrate machine learning models into larger systems.

Design and develop data pipelines and architectures for large-scale machine learning projects.

Publish research papers in top-tier conferences and journals.

Stay updated with the latest developments in machine learning and computer vision.

Job Requirements

Strong foundation in machine learning concepts, including supervised and unsupervised learning.

Experience with deep learning frameworks such as TensorFlow or PyTorch.

Proficiency in programming languages such as Python, C++, or Java.

Excellent problem-solving skills and attention to detail.

Ability to work collaboratively in a team environment.

Strong communication and writing skills for publishing research papers.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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Research Associate in Machine Learning and Computer Vision