AI Engineer - Computer Vision

Posted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Information Technology • Software
The Role
Participate in AI model development for Computer Vision using ML/DL. Focus on creating, optimizing models, and process improvements.
Summary Generated by Built In

If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry.

This is a great chance for you and your career to be a part of an innovation leader company. You will have opportunity to improve process efficiency and software quality of projects developed by thousands of Huawei Engineers using ML/DL models designed by yourself.

Brief Job Description:

  • Publishing academic papers
  • Preparing proposals for TUBITAK Project, EU Horizon Projects
  • Creating AI models from scratch and take ownership of them
  • Optimize and improve the model with given requirements
  • Actively participate in development for applying the model
  • Developing novel architectures for Computer Vision tasks

Requirements
  • Master degree from a reputable university in Computer Science/Engineering, or a related field of study, a PhD degree is a big plus.
  • Strong modeling experience with ability to build deep learning models
  • Experience in manipulating and analyzing large and complex datasets
  • Strong interest in solving real world problems.
  • Experience in optimizing performance-critical applications
  • Familiarity with at least one ML/DL frameworks and libraries in Tensorflow, Keras, Pytorch, etc.
  • Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
  • Experience on Kaggle contest is a plus, Getting a Prize will be better
  • Very good command of written and spoken English,
  • A strong desire to learn and explore new technologies and good analysis and problem-solving skills
  • Experience in using source control tool (Git) and package managers
  • Having developed a project and experience in at least one of the classification, segmentation, and object detection fields

Top Skills

Deep Learning
Git
Jupyter
Keras
Machine Learning
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Scipy
TensorFlow
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The Company
Bellevue, WA
168,766 Employees

What We Do

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

Huawei's end-to-end portfolio of products, solutions and services are both competitive and secure. Through open collaboration with ecosystem partners, we create lasting value for our customers, working to empower people, enrich home life, and inspire innovation in organizations of all shapes and sizes.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

House Rules
This page is for ICT professionals with an interest in Huawei and our industry to engage in open discussions.
To facilitate dialogue, please follow these rules:
- Huawei holds the right to delete comments that are offensive, misleading, false, unlawful, off-topic and in violation of any regulations.
- Repeated violations of any of the above will be removed and users may be blocked.
- Huawei does not necessarily endorse the information shared by members.
- Please be familiar with and follow LinkedIn's User Agreement.
- By publicly uploading a photograph or comment, you give Huawei permission to feature your content. This will always be credited.

Please visit the below portals for career or customer service queries.
Career page: http://bit.ly/2rdljD7
Customer service: http://bit.ly/2a4mXNY

Thank you for visiting us & we hope you enjoy your time on our page.

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