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- Tasks: Lead research in computer vision and develop innovative calibration systems for cameras.
- Company: Dynamic tech company based in London with a focus on AI and collaboration.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Why this job: Join a cutting-edge team and make a significant impact in AI vision technology.
- Qualifications: Over 6 years of experience in software engineering, Python expertise, and AI project involvement.
- Other info: Great opportunity for career growth and mentoring fellow engineers.
The predicted salary is between 43200 - 72000 £ per year.
A tech company in London is seeking an experienced Software Engineer to lead the Scene Understanding Team's research in computer vision.
Responsibilities include:
- Developing calibration systems for cameras
- Translating AI research into engineering solutions
The ideal candidate has:
- Over 6 years of experience
- Excellent skills in Python and AI projects
A collaborative environment and opportunities to mentor engineers are part of the role.
Lead AI Vision & Scene Understanding Engineer in London employer: Cervin
Contact Detail:
Cervin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Vision & Scene Understanding Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and any relevant work you've done in computer vision. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in AI and scene understanding. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead AI Vision & Scene Understanding Engineer in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 6+ years of experience in software engineering, especially in AI and computer vision. We want to see how your background aligns with the role, so don’t hold back on those impressive projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your skills in Python and any relevant AI projects you've worked on. We love seeing how you can bring your unique flair to our team!
Be Collaborative: Since we value teamwork, share examples of how you've worked collaboratively in past roles. Whether it’s mentoring others or leading a project, let us know how you thrive in a team environment!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Cervin
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant AI projects you've worked on. Be ready to discuss specific examples of how you've applied your knowledge in computer vision and scene understanding. This will show that you're not just familiar with the concepts, but that you can also translate them into practical solutions.
✨Showcase Your Leadership Skills
Since this role involves leading a team, think about times when you've mentored others or taken charge of a project. Prepare to share these experiences during the interview, highlighting how you foster collaboration and support your team members' growth.
✨Prepare for Technical Questions
Expect some technical questions related to calibration systems and AI research. Brush up on the latest trends and challenges in the field, and be ready to discuss how you would approach solving specific problems. This will demonstrate your expertise and problem-solving abilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision for AI and how the Scene Understanding Team fits into that. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
