At a Glance
- Tasks: Ensure reliability of the Vision Agentic Platform and deploy AI in challenging environments.
- Company: Innovative tech firm based in Greater London with a focus on cutting-edge solutions.
- Benefits: Competitive compensation, equity options, and a dynamic work environment.
- Other info: Exciting opportunities for growth in a fast-paced industry.
- Why this job: Join a team solving real-world engineering challenges that enhance safety in mining.
- Qualifications: Strong skills in AWS, NVIDIA Jetson, and real-time event streaming required.
The predicted salary is between 60000 - 80000 £ per year.
A technology firm in Greater London seeks a Systems Engineer to ensure the reliability and performance of the Vision Agentic Platform. The role focuses on deploying AI in harsh industrial environments, managing real-time data synchronization, and building infrastructure for edge devices.
Candidates should possess strong skills in AWS, NVIDIA Jetson, and real-time event streaming.
Join a dynamic team that tackles engineering challenges that directly impact safety in mining operations. Competitive compensation and equity offered.
Edge & Cloud Vision AI Systems Engineer in London employer: MISTI AI
Contact Detail:
MISTI AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge & Cloud Vision AI Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your knowledge.
✨Tip Number 2
Prepare for technical interviews by brushing up on your AWS and NVIDIA Jetson skills. We recommend setting up mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your projects! If you've worked on any edge computing or AI projects, make sure to highlight them in your conversations. Real-world examples can really impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Edge & Cloud Vision AI Systems Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, NVIDIA Jetson, and real-time event streaming. We want to see how your skills align with the role of a Systems Engineer in our Vision Agentic Platform.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about deploying AI in challenging environments. Share specific examples of how you've tackled engineering challenges in the past, especially in safety-critical situations.
Showcase Your Problem-Solving Skills: In your application, don’t shy away from discussing how you’ve approached complex problems. We love candidates who can think on their feet and come up with innovative solutions, especially in harsh industrial settings.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MISTI AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, NVIDIA Jetson, and real-time event streaming. Brush up on your knowledge of how these technologies work together, especially in harsh environments. Being able to discuss specific projects or experiences where you've used these tools will really impress the interviewers.
✨Showcase Problem-Solving Skills
Prepare to discuss past engineering challenges you've faced, particularly those related to reliability and performance. Think about how you tackled issues in real-time data synchronization or edge device infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand the Industry Context
Familiarise yourself with the mining industry and the specific safety challenges it faces. This will help you connect your technical skills to the real-world impact they can have. Showing that you understand the stakes involved will demonstrate your commitment to the role and the company’s mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the Vision Agentic Platform and the team dynamics. Inquire about the current challenges they face in deploying AI in industrial settings. This not only shows your interest but also gives you a chance to assess if the company culture aligns with your values.