Welcome to the exciting world of Lenovo, where innovation and technology come together to create cutting-edge products for our customers. As a Computer Vision Intern, you will have the opportunity to work alongside our team of experts and gain hands-on experience in developing and implementing computer vision solutions for our products. We are looking for a highly motivated and driven individual with a strong passion for computer vision and a desire to learn and grow in a fast-paced environment. If you have a background in computer science, engineering, or a related field, and possess excellent problem-solving skills, we want you on our team. Join us at Lenovo and be a part of shaping the future of technology.
- Develop computer vision solutions for Lenovo's products.
- Collaborate with team members to brainstorm and implement new ideas.
- Conduct research and stay up-to-date with the latest advancements in computer vision technology.
- Test and troubleshoot computer vision algorithms and systems.
- Document and present findings and progress to team members and superiors.
- Assist in the integration of computer vision technology into Lenovo's products.
- Participate in team meetings and provide valuable insights and suggestions.
- Follow industry best practices and standards in developing computer vision solutions.
- Work closely with cross-functional teams to ensure the successful implementation of computer vision solutions.
- Continuously learn and improve skills in computer vision and related technologies.
- Adhere to project timelines and deliver high-quality results within given deadlines.
- Collaborate with other interns and team members to share knowledge and learn from each other.
- Follow company policies and procedures while maintaining a professional and positive attitude.
- Embrace challenges and proactively find solutions to overcome them.
- Represent Lenovo in a positive and professional manner at all times.
Proficiency In Computer Vision Algorithms And Techniques: Candidates Should Have A Strong Understanding Of Computer Vision Concepts Such As Image Processing, Feature Extraction, Object Detection, And Tracking.
Familiarity With Deep Learning Frameworks: The Ideal Candidate Should Be Familiar With Popular Deep Learning Frameworks Such As Tensorflow, Keras, And Pytorch, And Have Experience In Developing And Training Deep Learning Models For Computer Vision Tasks.
Programming Skills: A Solid Foundation In Programming Languages Such As Python, C++, And Java Is Essential For This Role. Candidates Should Be Able To Write Efficient And Well-Structured Code For Computer Vision Applications.
Experience With Computer Vision Libraries And Tools: Candidates Should Have Experience Working With Computer Vision Libraries Such As Opencv, Dlib, And Scikit-Image, As Well As Experience With Image And Video Processing Tools.
Strong Problem-Solving Skills: The Ability To Think Critically And Approach Problems From A Logical And Analytical Perspective Is Crucial For A Computer Vision Intern. Candidates Should Be Able To Troubleshoot And Debug Complex Computer Vision Systems And Algorithms.
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Data Visualization
Image Processing
Programming Languages
Neural Networks
Object detection
Pattern Recognition
Feature Extraction
Image Classification
Communication
Conflict Resolution
Customer Service
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Computer Vision Intern in Morrisville, NC, USA is $60,000-$90,000 per year. This can vary depending on the specific company, skills, and experience of the individual.
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Lenovo Group Ltd. is a company engaged in the developing, manufacturing and marketing technology products and services. The company products include laptops, tablets, desktops and all-in-ones, workstations, smartphones, servers, accessories and software. It operates its business through four geographical segments: China, Asia Pacific, Europe-Middle East-Africa and Americas.
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