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For Companies At a Glance
- Tasks: Develop and optimise SDKs, deploy machine learning models, and ensure efficient operations.
- Company: Leading UK technology firm with a focus on innovation.
- Benefits: Hybrid work model, professional growth opportunities, and competitive salary.
- Why this job: Make a real impact in cutting-edge technology solutions while working flexibly.
- Qualifications: Deep understanding of C++, strong Python skills, and experience with machine learning frameworks.
- Other info: Join a dynamic team and advance your career in a thriving tech environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in the UK is seeking a skilled Computer Vision Engineer to join their team. You will focus on developing and optimizing SDKs, deploying machine learning models across various hardware, and ensuring efficient operations.
Ideal candidates should have:
- a deep understanding of C++
- strong skills in Python
- experience with machine learning frameworks
The role offers a hybrid work model and opportunities for professional growth while making a real impact in innovative technology solutions.
Hybrid C++ Computer Vision AI Engineer (Mid-Level) employer: Zebra Technologies
Contact Detail:
Zebra Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid C++ Computer Vision AI Engineer (Mid-Level)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to computer vision and AI. Practise coding challenges and be ready to discuss your past experiences with SDKs and model deployment.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Hybrid C++ Computer Vision AI Engineer (Mid-Level)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ and Python skills, as well as any experience with machine learning frameworks. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about computer vision and how you can contribute to our innovative tech solutions. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects related to SDK development or machine learning, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our team. Plus, it’s super easy!
How to prepare for a job interview at Zebra Technologies
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've used C++, and be ready to solve coding problems on the spot. Practising common algorithms and data structures in C++ can really help you shine.
✨Showcase Your Machine Learning Knowledge
Since the role involves deploying machine learning models, be ready to talk about your experience with different frameworks. Discuss any projects where you've implemented machine learning solutions, and be prepared to explain your thought process and the results you achieved.
✨Demonstrate Your Problem-Solving Skills
Employers love candidates who can think on their feet. Prepare for scenario-based questions where you might need to troubleshoot a computer vision problem or optimise an SDK. Practise explaining your approach clearly and logically, as this will show your analytical skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the technologies they use, or how they measure success in this role. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
