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- Tasks: Own model deployment and optimisation for real-time computer vision projects.
- Company: Specialist tech company scaling a cutting-edge AI platform.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team at the forefront of AI technology and make a tangible impact.
- Qualifications: Experience in computer vision and strong problem-solving skills.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 42000 - 84000 £ per year.
My Client is a specialist technology company scaling a real-time AI platform and is seeking a Senior Computer Vision Engineer to own model deployment and optimisation in production environments. This is a hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. There will be close collaboration with system engineers.
Hardware / Senior Hardware Engineer in Winsford employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hardware / Senior Hardware Engineer in Winsford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. Building connections can open doors that job boards just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to real-time computer vision and model optimisation. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and practical scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Hardware / Senior Hardware Engineer in Winsford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with real-time computer vision and model optimisation. We want to see how your skills align 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 AI and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Be specific about the tools and technologies you’ve worked with in the past. If you’ve optimised models or worked on video pipelines, we want to hear all about it! This is your moment to impress us with your technical prowess.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Adria Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies in computer vision. Brush up on your knowledge of model deployment and optimisation techniques, as well as any specific tools or frameworks mentioned in the job description.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled performance and latency issues. Be ready to explain your thought process and the steps you took to optimise models and video pipelines. Real-world examples will make a strong impression.
✨Collaborate Like a Pro
Since the role involves close collaboration with systems engineers, think about how you can demonstrate your teamwork skills. Prepare examples of how you’ve successfully worked with cross-functional teams in the past to achieve project goals.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, challenges they face in model optimisation, or how they measure success in their AI platform. This shows you’re genuinely engaged and eager to contribute.
